709 Go Jobs - Page 18

Strong Python and intermediate SQL skills Experience building, deploying, and evaluating ML/NLP/GenAI systems. Experience with ML system design Very strong (including written) communication skills and ability to break down and articulate complex tasks into implementation strategies Software engineering best practices, including testing, OOP, etc. Knowledge of cloud systems, especially azure preferred. A more traditional ML perspective, some knowledge and understanding of mathematical optimizers, how to select the best ones for purpose and set parameters Must Have: Experience working closely with other data scientists, data engineers software engineers, data managers and business partners. Can build scalable, re-usable, impactful data science products, usually containing statistical or machine learning algorithms, in collaboration with data engineers and software engineers. Can carry out data analyses to yield actionable business insights. Hands-on experience (typically 5+ years) designing, planning, prototyping, productionizing, maintaining and documenting reliable and scalable data science products in complex environments. Applied knowledge of data science tools and approaches across all data lifecycle stages. Thorough understanding of underlying mathematical foundations of statistics and machine learning. Development experience in one or more object-oriented programming languages (e.g. Python, Go, Java, C++) Advanced SQL knowledge. Knowledge of experimental design and analysis. Customer-centric and pragmatic mindset. Focus on value delivery and swift execution, while maintaining attention to detail. Strong software engineering and ML system design experience. Experience with system designs like kNN model, NLP algorithms.

Strong Python and intermediate SQL skills Experience building, deploying, and evaluating ML/NLP/GenAI systems. Experience with ML system design Very strong (including written) communication skills and ability to break down and articulate complex tasks into implementation strategies Software engineering best practices, including testing, OOP, etc. Knowledge of cloud systems, especially azure preferred. A more traditional ML perspective, some knowledge and understanding of mathematical optimizers, how to select the best ones for purpose and set parameters Must Have: Experience working closely with other data scientists, data engineers software engineers, data managers and business partners. Can build scalable, re-usable, impactful data science products, usually containing statistical or machine learning algorithms, in collaboration with data engineers and software engineers. Can carry out data analyses to yield actionable business insights. Hands-on experience (typically 5+ years) designing, planning, prototyping, productionizing, maintaining and documenting reliable and scalable data science products in complex environments. Applied knowledge of data science tools and approaches across all data lifecycle stages. Thorough understanding of underlying mathematical foundations of statistics and machine learning. Development experience in one or more object-oriented programming languages (e.g. Python, Go, Java, C++) Advanced SQL knowledge. Knowledge of experimental design and analysis. Customer-centric and pragmatic mindset. Focus on value delivery and swift execution, while maintaining attention to detail. Strong software engineering and ML system design experience. Experience with system designs like kNN model, NLP algorithms.

Strong Python and intermediate SQL skills Experience building, deploying, and evaluating ML/NLP/GenAI systems. Experience with ML system design Very strong (including written) communication skills and ability to break down and articulate complex tasks into implementation strategies Software engineering best practices, including testing, OOP, etc. Knowledge of cloud systems, especially azure preferred. A more traditional ML perspective, some knowledge and understanding of mathematical optimizers, how to select the best ones for purpose and set parameters Must Have: Experience working closely with other data scientists, data engineers software engineers, data managers and business partners. Can build scalable, re-usable, impactful data science products, usually containing statistical or machine learning algorithms, in collaboration with data engineers and software engineers. Can carry out data analyses to yield actionable business insights. Hands-on experience (typically 5+ years) designing, planning, prototyping, productionizing, maintaining and documenting reliable and scalable data science products in complex environments. Applied knowledge of data science tools and approaches across all data lifecycle stages. Thorough understanding of underlying mathematical foundations of statistics and machine learning. Development experience in one or more object-oriented programming languages (e.g. Python, Go, Java, C++) Advanced SQL knowledge. Knowledge of experimental design and analysis. Customer-centric and pragmatic mindset. Focus on value delivery and swift execution, while maintaining attention to detail. Strong software engineering and ML system design experience. Experience with system designs like kNN model, NLP algorithms.

Role & responsibilities Responsibilities: Design, develop, and maintain robust, scalable billing systems and APIs. Own end-to-end implementation of billing features, including subscription lifecycle, invoicing, metered billing, and payment processing. Integrate third-party payment gateways (e.g., Stripe, Adyen, PayPal) and financial platforms (e.g., NetSuite). Ensure compliance with tax, audit, and financial reporting requirements (e.g., SOC 2, PCI DSS). Collaborate with cross-functional teams (Finance, Product, Legal) to support accurate and timely financial operations. Lead technical discussions and provide mentorship to junior engineers. Identify technical debt and participate in architectural reviews to improve long-term scalability and maintainability. Investigate and resolve production issues related to billing and payment systems. Required Qualifications: 5+ years of experience in backend software engineering. Strong proficiency in a backend language such as GO, Ruby, K8s - billing systems and processes Experience working with relational databases like PostgreSQL, MySQL , or SQL Server . Deep understanding of software engineering best practices: testing, code reviews, CI/CD, observability. Experience working with billing, subscription management, or payment processing systems. Knowledge of accounting and revenue recognition principles is a plus. Strong communication and cross-functional collaboration skills. Preferred Qualifications: Experience with Stripe Billing , Zuora , Recurly , or other billing platforms. Familiarity with tax engines like Avalara or Vertex . Prior experience in a SaaS or high-growth startup environment. Exposure to microservices architecture , event-driven systems , or domain-driven design . Understanding of financial compliance frameworks (SOX, PCI). Preferred candidate profile

The candidate should at minimum show proficiency in: Strong Python and intermediate SQL skills Experience building, deploying, and evaluating ML/NLP/GenAI systems. Experience with ML system design Very strong (including written) communication skills and ability to break down and articulate complex tasks into implementation strategies Software engineering best practices, including testing, OOP, etc. Knowledge of cloud systems, especially azure preferred. A more traditional ML perspective, some knowledge and understanding of mathematical optimizers, how to select the best ones for purpose and set parameters Must Have: Experience working closely with other data scientists, data engineers software engineers, data managers and business partners. Can build scalable, re-usable, impactful data science products, usually containing statistical or machine learning algorithms, in collaboration with data engineers and software engineers. Can carry out data analyses to yield actionable business insights. Hands-on experience (typically 5+ years) designing, planning, prototyping, productionizing, maintaining and documenting reliable and scalable data science products in complex environments. Applied knowledge of data science tools and approaches across all data lifecycle stages. Thorough understanding of underlying mathematical foundations of statistics and machine learning. Development experience in one or more object-oriented programming languages (e.g. Python, Go, Java, C++) Advanced SQL knowledge. Knowledge of experimental design and analysis. Customer-centric and pragmatic mindset. Focus on value delivery and swift execution, while maintaining attention to detail. Strong software engineering and ML system design experience. Experience with system designs like kNN model, NLP algorithms

The candidate should at minimum show proficiency in: Strong Python and intermediate SQL skills Experience building, deploying, and evaluating ML/NLP/GenAI systems. Experience with ML system design Very strong (including written) communication skills and ability to break down and articulate complex tasks into implementation strategies Software engineering best practices, including testing, OOP, etc. Knowledge of cloud systems, especially azure preferred. A more traditional ML perspective, some knowledge and understanding of mathematical optimizers, how to select the best ones for purpose and set parameters Must Have: Experience working closely with other data scientists, data engineers software engineers, data managers and business partners. Can build scalable, re-usable, impactful data science products, usually containing statistical or machine learning algorithms, in collaboration with data engineers and software engineers. Can carry out data analyses to yield actionable business insights. Hands-on experience (typically 5+ years) designing, planning, prototyping, productionizing, maintaining and documenting reliable and scalable data science products in complex environments. Applied knowledge of data science tools and approaches across all data lifecycle stages. Thorough understanding of underlying mathematical foundations of statistics and machine learning. Development experience in one or more object-oriented programming languages (e.g. Python, Go, Java, C++) Advanced SQL knowledge. Knowledge of experimental design and analysis. Customer-centric and pragmatic mindset. Focus on value delivery and swift execution, while maintaining attention to detail. Strong software engineering and ML system design experience. Experience with system designs like kNN model, NLP algorithms

The candidate should at minimum show proficiency in: Strong Python and intermediate SQL skills Experience building, deploying, and evaluating ML/NLP/GenAI systems. Experience with ML system design Very strong (including written) communication skills and ability to break down and articulate complex tasks into implementation strategies Software engineering best practices, including testing, OOP, etc. Knowledge of cloud systems, especially azure preferred. A more traditional ML perspective, some knowledge and understanding of mathematical optimizers, how to select the best ones for purpose and set parameters Must Have: Experience working closely with other data scientists, data engineers software engineers, data managers and business partners. Can build scalable, re-usable, impactful data science products, usually containing statistical or machine learning algorithms, in collaboration with data engineers and software engineers. Can carry out data analyses to yield actionable business insights. Hands-on experience (typically 5+ years) designing, planning, prototyping, productionizing, maintaining and documenting reliable and scalable data science products in complex environments. Applied knowledge of data science tools and approaches across all data lifecycle stages. Thorough understanding of underlying mathematical foundations of statistics and machine learning. Development experience in one or more object-oriented programming languages (e.g. Python, Go, Java, C++) Advanced SQL knowledge. Knowledge of experimental design and analysis. Customer-centric and pragmatic mindset. Focus on value delivery and swift execution, while maintaining attention to detail. Strong software engineering and ML system design experience. Experience with system designs like kNN model, NLP algorithms

We are seeking a highly skilled and experienced GCP Cloud Architect to lead the design, development, and optimization of cloud-based solutions on the Google Cloud Platform. This role requires a deep understanding of cloud architecture, GCP services, and best practices for building scalable, secure, and efficient cloud environments. The ideal candidate will have hands-on experience with GCP tools, infrastructure automation, and cloud security. Must have skills GCP Expertise: In-depth knowledge of GCP services, including Compute Engine, Kubernetes Engine, Cloud Storage, BigQuery, and Pub/Sub. Infrastructure Automation: Proficiency with IaC tools like Terraform or GCP Deployment Manager. Cloud Security: Strong understanding of IAM, VPC, firewall configurations, and encryption in GCP. Programming Skills: Proficiency in Python, Go, or other programming languages for automation and scripting. Data Engineering Knowledge: Familiarity with data pipelines and services like Dataflow, Dataproc, or BigQuery. Monitoring and Observability: Hands-on experience with GCP monitoring tools and best practices. Problem-solving: Strong analytical and troubleshooting skills. Collaboration: Excellent communication and teamwork abilities to work effectively across teams. Roles and responsibilities Architecture Design: Design and develop robust and scalable cloud architectures leveraging GCP services to meet business requirements. Cloud Migration and Optimization: Lead cloud migration initiatives and optimize existing GCP environments for cost, performance, and reliability. Infrastructure as Code (IaC): Implement and maintain infrastructure automation using tools like Terraform or Deployment Manager. Integration with Cloud Services: Integrate various GCP services (e.g., BigQuery, Pub/Sub, Cloud Functions) into cohesive and efficient solutions. Observability and Monitoring: Set up monitoring, logging, and alerting using GCP-native tools like Cloud Monitoring and Cloud Logging. Security and Compliance: Ensure cloud environments adhere to industry security standards and compliance requirements, implementing IAM policies, encryption, and network security measures. Collaboration: Work with cross-functional teams, including DevOps, data engineers, and application developers, to deliver cloud solutions. Preferred Qualifications: GCP certifications (e.g., Professional Cloud Architect, Professional Data Engineer). Experience with container orchestration using Kubernetes (GKE). Knowledge of CI/CD pipelines and DevOps practices. Exposure to AI/ML services like Vertex AI.

About the Position This role involves leveraging advanced data technologies to drive business outcomes in the media and advertising sector, focusing on scalability and performance optimization. Successful candidates will be adept at collaborating across teams to implement comprehensive data strategies and ensure robust, secure data management. Technical and Professional Requirements Candidate should have good experience into the following tech stack: Big Query / Big Data / Hadoop / Snowflake Programming / Scripting Languages like Python / Java / Go Hands on experience in defining and implementing various Machine Learning models for different business needs. Hands on experience in handling various performance and data scalability problems. Knowledge in Advertising Domain and varied experience in working on different data sets such as Campaign Performance, Ad Performance, Attribution, Audience Data etc. Job Responsibilities: Designing and implementing an overall data strategy as per business requirements. The strategy includes data model designs, database development standards, implementation and management of data warehouses and data analytics systems. Identification of data sources, internal and external, and defining a plan for data management as per business data strategy. Collaborating with cross-functional teams for the smooth functioning of the enterprise data system. Managing end-to-end data architecture, from selecting the platform, designing the technical architecture, and developing the application to finally testing and implementing the proposed solution. Planning and execution of big data solutions using Big Query, Big Data, Hadoop, Snowflake. Integrating technical functionality, ensuring data accessibility, accuracy, and security. Educational Requirements: Any Graduate with 60% and above

Role - Platform Engineer Location: Hyderabad / Gurgaon / Remote/ Hybrid Shift: EMEA (11:30 AM to 9:30 PM IST) Experience: 4+ years Key Responsibilities • Platform Development: • Design, develop, and maintain the core components of our internal developer platform, including APIs, tools, and infrastructure. • Build self-service capabilities that enable developers to provision infrastructure, deploy applications, and manage their environments independently. • Implement and maintain infrastructure-as-code (IaC) using tools like Terraform, CloudFormation, or similar. • Develop and maintain golden paths for common development tasks, ensuring consistency and best practices. • Contribute to the overall architecture and design of our cloud infrastructure. • Evaluate and integrate new technologies and tools into the platform. • Developer Enablement: • Work closely with development teams to understand their needs and pain points. • Provide training and support to developers on how to use the platform effectively. • Gather feedback from developers and iterate on the platform based on their needs. • Document platform features and best practices. • Champion a developer-centric approach to platform development. • Automation and Efficiency: • Automate infrastructure provisioning, application deployment, and other repetitive tasks. • Build and maintain CI/CD pipelines to streamline the software delivery process. • Identify and eliminate bottlenecks in the development workflow. • Implement monitoring and alerting systems to ensure the health and performance of the platform. • Security and Compliance: • Ensure that the platform is secure and compliant with relevant regulations. • Implement security best practices throughout the platform. • Work with security teams to identify and mitigate potential vulnerabilities. • Collaboration and Communication: • Collaborate effectively with other engineers, product managers, and stakeholders. • Communicate technical concepts clearly and concisely. • Participate in code reviews and knowledge sharing. • Contribute to a positive and collaborative team environment. Requirements • Bachelor's degree in Computer Science or a related field, or equivalent experience. • 3+ years of experience in software development, infrastructure engineering, or a related role. • Strong understanding of cloud computing concepts and technologies (AWS, Azure, GCP). • Experience with infrastructure-as-code (IaC) tools (e.g., Terraform, CloudFormation). • Experience with containerization technologies (e.g., Docker, Kubernetes). • Experience with CI/CD pipelines and automation tools (e.g., Jenkins, GitLab CI, CircleCI). • Proficiency in at least one programming language (e.g., Python, Go, Java). • Excellent problem-solving and troubleshooting skills. • Strong communication and collaboration skills. Desirable Experience • Experience building and maintaining internal developer platforms. • Experience with API design and development. • Experience with configuration management tools (e.g., Ansible, Chef, Puppet). • Experience with monitoring and logging tools (e.g., Prometheus, Grafana, ELK stack). • Experience with security best practices and compliance requirements. • Experience with Agile development methodologies. • Contributions to open-source projects. Interested candidates can share their resume at Neesha1@damcogroup.com

OpenShift Developer Desired Experience Range: 5 - 8 years Location of Requirement: Chennai/Bangalore/Hyderabad/Bhubaneshwar /Kolkata Must-Have: We are looking for an experienced OpenShift Developer with a strong background in Microservices Architecture (MSA) to design, develop, deploy, and manage containerized applications. The ideal candidate will have in-depth knowledge of Kubernetes/OpenShift platforms and hands-on experience building and deploying microservices in enterprise environments. Hands-on experience with Red Hat OpenShift (v4.x preferred) and Kubernetes. Strong knowledge of microservices design patterns, RESTful APIs, and container orchestration. Proficient in at least one backend language (Java, Go, Node.js, or Python). Experience with Docker, Helm charts, and Kubernetes Operators. Familiarity with GitOps, CI/CD pipelines (Jenkins, Tekton), and container registries

Role & responsibilities Design, develop, test, and deploy backend services using Golang. Build and maintain RESTful APIs and microservices. Optimize applications for maximum performance and scalability. Strong proficiency in Go and its ecosystem. Experience with RESTful APIs, gRPC, or GraphQL. Familiarity with databases like PostgreSQL, MySQL, or MongoDB. Understanding of microservices architecture and containerization. Version control using Git. Exp 10-16yrs Location All location Pune Good to have,

To join our team that can help to design, configure, implementing & maintaining the ServiceHub Network & Servers. Communicate on current processes & suggest if needed. Fix the issues escalated by L1/L2 teams.

Roles and Responsibilities: Design and implement IAM microservices using Go (Golang) , leveraging gRPC and RESTful APIs for high-performance integrations. Build and maintain authentication/authorization flows, token management (JWT, OAuth2), and session handling systems. Integrate with external identity providers (IdPs) using SAML , OIDC , and OAuth2 . Develop scalable user lifecycle management components (provisioning, deprovisioning, role mapping). Ensure compliance with RBAC , ABAC , and Zero Trust security principles. Collaborate with security and backend engineering teams to secure internal services and APIs. Build infrastructure components for identity governance and audit logging. Write unit and integration tests for IAM services and participate in peer code reviews. Required Skills & Experience: 5+ years of hands-on backend development experience in Go (Golang) . Strong experience building APIs using gRPC and REST . Solid understanding of IAM concepts (authentication, authorization, RBAC, OAuth2, SSO, MFA). Familiarity with protocols like OAuth2 , OpenID Connect , SAML , LDAP . Experience integrating with or building identity systems (e.g., Keycloak, Okta, Auth0, ForgeRock). Proficiency with distributed systems, microservices architecture, and API gateway design. Hands-on experience with SQL/NoSQL databases and CI/CD pipelines . Role & responsibilities

Role & responsibilities Design, develop, and deploy scalable full-stack applications using Go (Golang) and React . Integrate Generative AI models (LLMs, diffusion models, embeddings, etc.) into product workflows. Work closely with product managers, data scientists, and UX designers to develop intelligent and intuitive user experiences. Develop APIs and microservices optimized for performance, scalability, and security. Optimize frontend applications for performance, accessibility, and responsiveness. Maintain code quality through best practices, code reviews, and automated testing. Contribute to architectural decisions and long-term technology strategy. Preferred candidate profile 6+ years of experience in full-stack development. Strong proficiency in Go (Golang) for backend development. Extensive experience with React.js and modern frontend technologies. Experience building and integrating Generative AI applications (e.g., using OpenAI, Hugging Face, LangChain). Proficiency with RESTful APIs, GraphQL, WebSockets. Strong understanding of cloud services (AWS, GCP, or Azure). Familiarity with vector databases (e.g., Pinecone, Weaviate, FAISS) and embedding techniques. Solid foundation in data structures, algorithms, and system design.

1 year (extendable to a period of 3 years) Salary 3500/Hour Experience, Educational Qualifications Basic Qualification BE/B Tech/ M.E/M Tech/MS/MCA/MSc. UIDAI may relax education qualification criteria in case of experienced & highly deserving candidates. Professional Experience The candidate must possess 15+ years of experience in Information Technology with a strong focus on cybersecurity and enterprise architecture. Have proven leadership experience in the information security domain in large-scale organizations in India or abroad. Demonstrate expertise in overseeing the design and enforcement of security architecture across complex IT systems. Show experience working with private cloud security, including data protection, identity & access management, and compliance. Excellent understanding of cryptographic algorithms with hands on implementation experience. Good skills in any of the following Language : C,C++,JAVA,GO,RUST It is expected that the candidate Has spent at least 10 years in senior leadership positions Exhibits excellent team leadership skills with the ability to collaborate in a multi-disciplinary setting Has exceptional communication skills to handle interactions across the entire team consisting of junior team members right upto the executive Job Profile Job Objective Provide strategic leadership and technical expertise in designing and platforms. Ensure end-to-end security in line with best practices and evolving threat landscapes. Roles & Responsibilities The candidate is expected to Lead the design and implementation of application security architecture, covering all modules, APIs, and ecosystem integrations. Audit and assess application components to define security requirements and ensure compliance with internal and external standards. Ensure application integrity and data security throughout the software lifecycle, from design to deployment and maintenance. Provide expertise in private cloud security, ensuring alignment with Aadhaar's deployment strategy and data residency requirements. Stay updated and incorporate advancements in cybersecurity technologies, cryptographic standards, tools, and practices. Collaborate with internal and external development, DevSecOps, and operations teams to embed security at every stage of development. Support vulnerability assessments, penetration testing, and incident response planning. Assist in building cybersecurity talent and capabilities within the organization by mentoring teams and setting best practices.

Develop high-performance systems to publish REST Services. Deliver services for high availability, with high quality. Proven working experience on Java / C++ / C# / Go. Required Candidate profile 3+ years relevant work experience designing and developing applications in high-paced environments; majorly in Product based organizations. Demonstrated expertise in building and enhancing scalable.

8-12 years of Cloud software development experience under Agile development life cycle processes and tools Experience in Micro-services architecture. Experience in NodeJS applications Strong knowledge of AWS Cloud Platform services like AWS Lambda, GraphQL, NoSQL databases, AWS Kinesis, Queues like SNS/ SQS topics Strong with Object Oriented Analysis & Design (OOAD) ; Programming languages used for cloud Java , C++ , GO Strong experience on PaaS, IaaS cloud computing. Good hands-on experience in Serverless frameworks, AWS JS SDK, AWS services like Lambda, SNS, SES, SQS, SSM, S3, EC2, IAM, CloudWatch, Kinesis and Cloud Formation. Experience in Agile methodology with tools like JIRA, GIT, GITLAB, SVN, Bit Bucket as an active scrum member. Good to have Okta or oAuth2 knowledge. IoTs, Sparkplug-B knowledge/ work experience is added advantage.

Your Role Use Design thinking and a consultative approach to conceive cutting edge technology solutions for business problems, mining core Insights as a service model Engage with project activities across the Information lifecycle. Understanding client requirements, develop data analytics strategy and solution that meets client requirements Apply knowledge and explain the benefits to organizations adopting strategies relating to NextGen/ New age Data Capabilities Be proficient in evaluating new technologies and identifying practical business cases to develop enhanced business value and increase operating efficiency Architect large scale AI/ML products/systems impacting large scale clients across industry Own end to end solutioning and delivery of data analytics/transformation programs Mentor and inspire a team of data scientists and engineers solving AI/ML problems through R&D while pushing the state-of-the-art solution Liaise with colleagues and business leaders across Domestic & Global Regions to deliver impactful analytics projects and drive innovation at scale Assist sales team in reviewing RFPs, Tender documents, and customer requirements Developing high-quality and impactful demonstrations, proof of concept pitches, solution documents, presentations, and other pre-sales assets Have in-depth business knowledge across a breath of functional areas across sectors such as CPRD/FS/MALS/Utilities/TMT Your Profile B.E. / B.Tech. + MBA (Systems / Data / Data Science/ Analytics / Finance) with a good academic background Minimum 10 years + on Job experience in data analytics with at least 7 years of CPRD, FS, MALS, Utilities, TMT or other relevant domain experience required Specialization in data science, data engineering or advance analytics filed is strongly recommended Excellent understanding and hand-on experience of data-science and machine learning techniques & algorithms for supervised & unsupervised problems, NLP and computer vision Good, applied statistics skills, such as distributions, statistical inference & testing, etc. Excellent understanding and hand-on experience on building Deep-learning models for text & image analytics (such as ANNs, CNNs, LSTM, Transfer Learning, Encoder and decoder, etc). Proficient in coding in common data science language & tools such as R, Python, Go, SAS, Matlab etc. At least 7 years experience deploying digital and data science solutions on large scale project is required At least 7 years experience leading / managing a data Science team is required Exposure or knowledge in cloud (AWS/GCP/Azure) and big data technologies such as Hadoop, Hive, What you will love about working here We recognize the significance of flexible work arrangements to provide support. Be it remote work, or flexible work hours, you will get an environment to maintain healthy work life balance. At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities. Equip yourself with valuable certifications in the latest technologies such as Generative AI.

Location - PAN INDIA We are seeking a skilled Backend Engineer with hands-on expertise in Java and Golang , cloud platforms, and microservice architectures. The ideal candidate will contribute to designing scalable backend services, managing cloud infrastructure, and ensuring operational excellence for globally distributed systems. Key Responsibilities: Develop and maintain high-performance backend services using Java and Golang . Architect and implement scalable, cloud-native solutions on AWS (preferred), GCP , or Azure . Work with SQL and NoSQL databases such as PostgreSQL, MySQL, and MongoDB. Build and manage Kubernetes-based microservices , caching layers, and event-driven systems using Kafka . Implement robust monitoring, logging, and alerting using Grafana , CloudWatch , Kibana , and PagerDuty . Participate in on-call rotations , incident response, and maintain operational runbooks. Write clean, well-documented code and contribute to technical documentation and design reviews. Follow best practices in software engineering, including algorithms, design principles, and system optimization. Requirements: Proven experience as a backend developer with strong coding skills in Golang (mandatory) and Java . Exposure to JavaScript is a plus. Hands-on experience with cloud platforms , preferably AWS. Solid understanding of data structures , algorithms, and software architecture. Experience with containerization and Kubernetes . Familiarity with caching mechanisms and event-driven architectures . Ability to thrive in a globally distributed and fast-paced environment. Strong communication skills and a focus on clear technical documentation .

MSCI Services is looking for an Authentication and Access Engineer to join our Identity and Authentication (IAM) team. This team develops a platform for high-throughput, low-latency authentication and authorization services. In this role, you will be responsible for working with different stakeholders to deliver IAM solution designs that meet business requirements. Responsibilities: Create and implement strategies for managing digital identities and access permissions . Build secure and high-throughput authentication mechanisms using modern protocols. Help evolve a complex access management schema . Manage the life-cycle of user accounts , including creation, modification, and deactivation. Define and enforce access policies to ensure that users have the appropriate level of access to systems and data. Work with different stakeholders to deliver IAM solution designs as per business requirements. Investigate and resolve any incidents related to identity and access management . Keep up with the latest trends and advancements in IAM to enhance security measures continuously. Qualifications: Bachelor's or Master's degree in Computer Science or a related field. Experience with best practices around Authorizations and Access Management . Identity Platform Expertise: AAD, Ping Identity, ForgeRock etc. Knowledgeable in Authentication and Authorization protocols such as SAML, OAuth2, OpenID Connect, LDAP etc. Experience in one or more languages, preferably Go, Java, Python, NodeJS . 10+ years experience designing, building, and managing resilient applications and infrastructure.

Job Description Position: Full Stack Developer Experience : 3+ years Location : Remote Position: 2 Mandate Skills: .Net (Core/ MVC) React, AWS - Lambda Key Responsibilities : Design, develop, and maintain .Net backend services, react for frontend and APIs using modern technologies. Architect and implement scalable and reliable backend systems using AWS services (such as EC2, Lambda, S3, RDS, DynamoDB, etc.). Collaborate with front-end developers to ensure seamless integration between frontend and backend services. Write clean, efficient, and well-documented code, adhering to coding standards and best practices. Troubleshoot, debug, and optimize code to ensure high performance and reliability of the backend. Manage AWS infrastructure and services, ensuring uptime, security, and cost-effectiveness. Conduct code reviews and provide mentorship to junior developers. Contribute to CI/CD pipeline setup and management. Stay up-to-date with the latest trends in cloud computing and backend development. Required Skills and Qualifications : 3+ years of .Net experience in backend development. Minimum 2+ years in React.JS for Frontend Integrations Strong 1+ Years experience with AWS services such as EC2, Lambda, S3, RDS, DynamoDB, etc. Experience in developing and maintaining RESTful APIs and microservices architectures. Strong proficiency in at least one backend programming language (e.g., Python, Node.js, Java, Go). Experience with AWS SDKs , CLI , and managing cloud resources. Understanding of security best practices in cloud environments. Familiarity with containerization (e.g., Docker) and orchestration tools (e.g., Kubernetes). Experience with version control systems (e.g., Git) and agile methodologies. Good understanding of database management (SQL/NoSQL). Ability to work independently and collaborate with a remote team effectively. Preferred Qualifications : AWS Certification (AWS Certified Solutions Architect, AWS Certified Developer, etc.) not mandatory but preferred. Experience with monitoring and logging tools such as CloudWatch, ELK stack, etc. Familiarity with serverless architecture and event-driven applications. Experience with infrastructure as code (e.g., Terraform, CloudFormation). Exposure to DevOps practices and CI/CD pipelines.

Job Title : Golang DeveloperLocation : Noida, Uttar Pradesh, IndiaKey Responsibilities : - Design, develop, and maintain efficient, reusable, and reliable Go code.- Implement and integrate with back-end services, databases, and APIs.- Write clean, scalable, and testable code following best practices and design patterns.- Collaborate with cross-functional teams to define, design, and ship new features.- Optimize application performance for maximum speed and scalability. - Identify and address bottlenecks and bugs, and devise solutions to these problems.- Stay up-to-date with the latest industry trends, technologies, and best practices.Required Qualifications : - Proven experience as a Golang Developer or similar role in software development.- Proficiency in Go programming language, paradigms, constructs, and idioms.- Experience with server-side development, microservices architecture, and RESTful APIs.- Familiarity with common Go frameworks and tools such as Gin. - Knowledge of implementing monitoring, logging, and alerting systems.- Experience with SQL and NoSQL databases (e.g., PostgreSQL, MySQL, MongoDB). - Understanding of code versioning tools, such as Git. - Strong understanding of concurrency and parallelism in Go.- Excellent problem-solving skills and attention to detail.- Ability to work effectively both independently and as part of a team.Bonus Points (Optional) : - Experience with cloud platforms (AWS, GCP, Azure).- Experience with containerization technologies (Docker, Kubernetes).

Dear candidate, We are hiring for Golang developer for one of our MNC client for Bangalore location:- Profile:- Golang development Experience:- 3-10 Years Location:- BAngalore Work mode:- HYbrid Interview Process:- 2 rounds (final might b f2f) Timing:- General Budget :- Open (Case to case) Need local canddiates only (Bangalore based) Thanks

Job Overview : We are looking for a highly technical and detail-oriented Engineer (Fresher) to ensure the developing and reliability of our software applications. The ideal candidate should have a strong development knowledge and a keen interest in development. This role involves building web applications. Responsibilities : We are hiring smart, curious freshers or trainees who are : - Skilled in using AI coding tools like GitHub Copilot, ChatGPT - Interested in backend development using Java, Python, or Go - Excited to learn, experiment, and contribute to real-world software projects Requirement : - Assist in designing, developing, and maintaining backend services and APIs - Use AI tools to write, test, and refactor clean, efficient code - Collaborate with team members on feature development and code reviews - Learn and apply backend engineering best practices - Contribute to internal tools, documentation, and developer efficiency Benefits : - Competitive salary and performance-based bonuses. - Flexible work culture with work-from-home options.