1,236 AWS (Amazon Web Services) Jobs in Bangalore (Bengaluru) | AWS (Amazon Web Services) Job openings in Bangalore (Bengaluru)

Job Title : Infra Delivery Lead

Experience : 10+ Years

Joining : Immediate Joiners Only

Location : Gurugram, Pune, Bengaluru, Chennai, Bhopal, Jaipur, Hyderabad & Noida

Role Overview :

We are looking for an experienced Infra Delivery Lead to manage end-to-end 24x7 infrastructure operations across multiple towers, including Hosting, Network & Connectivity, DBA, Data Tribe and Infrastructure Command Center (L1.5).

Mandatory Skills :

IT Infrastructure Operations, End-to-End Service Delivery Management, 24x7 Multi-Tower Operations, Managed Services, SLA/KPI Management, ITIL, Incident & Problem Management, Major Incident Management (MIM), AWS/Azure, Windows/Linux, Networking, DBA, ServiceNow, Team Management, Client Stakeholder Management, Commercial & Contract Management.

Key Responsibilities :

• Own end-to-end delivery of L1.5 and L2 infrastructure operations.
• Manage SLA/KPI performance, service governance, reporting and client escalations.
• Lead P1 / P2 incidents, Major Incident Management (MIM), RCA and problem management.
• Manage Hosting, Network, Database, Cloud and Data Operations teams.
• Oversee change management, patching, backups, disaster recovery and availability.
• Handle resource planning, team management, shift rosters and 24x7 support.
• Manage client relationships, invoicing, contractual obligations and service reviews.
• Drive automation, process improvements and service quality.

Required Skills & Experience :

• 10+ years of experience in IT Infrastructure Operations.
• Strong experience in Infrastructure Service Delivery / Managed Services.
• Experience managing 24x7 multi-tower infrastructure operations and large teams.
• Good understanding of AWS, Azure, Windows/Linux, Networking, Oracle and SQL Server.
• Hands-on exposure to ServiceNow, ITIL processes, SLA management and MIM.
• Experience in client management, escalations, governance and contract management.
• Excellent communication and stakeholder management skills.

Good to Have :

ITIL 4, AWS / Azure, CCNA / CCNP certifications; exposure to Datadog, PagerDuty and Terraform.

Location: Bangalore

Experience: 6+ Years

Role: Java Backend Developer

Required Skills:

Java.

PostgreSQL / Database Management.

AWS services such as:

AWS ECS

AWS Lambda

How to Apply

Interested candidates can share their updated resumes:

Email: revathi.r @vysystems. com

WhatsApp: 6 3 8 5 0 7 6 1 4 2

Job Title: Senior AI/ML Engineer

Company: Timble Technologies Pvt. Ltd

Location: Gurugram (Hybrid)

Experience: 2 TO 5 Years

About Us

Timble Glance is a high-growth AI RegTech and B2B SaaS company catering to top-tier BFSI and enterprise clients. We build cutting-edge systems powering 30+ high-scale APIs for digital identity verification, fraud detection, document intelligence, and compliance automation.

Role Overview

We are looking for a hands-on Senior AI/ML Engineer to design, develop, and productionize high-throughput AI/ML and Generative AI systems. You will own the full lifecycle—from problem formulation and data pipelines to deep learning architectures, RAG systems, LLMOps, and model governance—delivering sub-second latency and high reliability across our enterprise products.

Key Responsibilities

·       Model Architecture & Deployment: Design, train, and deploy production-scale ML/Deep Learning and GenAI systems (computer vision, document intelligence, OCR, NLP, fraud risk classification, and LLM applications).

·       GenAI & LLM Solutions: Develop robust LLM workflows including prompt engineering, fine-tuning, RAG pipelines, semantic search, vector indexing (Pinecone/Milvus/Chroma), and safety guardrails.

·       Pipelines & Engineering: Build performant feature extraction and data pipelines; write modular, vectorized, production-grade Python (NumPy, Pandas) and advanced SQL.

·       MLOps & Monitoring: Establish end-to-end MLOps/LLMOps standards—model registries, CI/CD, experiment tracking, drift detection, A/B testing, latency optimization, and cost governance.

·       Responsible AI & Security: Ensure model decisions comply with enterprise data security, privacy standards, and auditability required by the BFSI sector.

·       Collaboration & Ownership: Translate complex business requirements into technical roadmaps, conduct rigorous code reviews, and mentor junior engineers.

Required Qualifications & Skills

·       Education: B.Tech / M.Tech in Computer Science, AI/ML, Mathematics, or a related field—Tier-1 institutes (IIT, IIIT, NIT) strongly preferred.

·       Experience: 2+ years of hands-on experience developing, deploying, and maintaining ML/Deep Learning or GenAI models in production environments.

·       GenAI & NLP Stack: Hands-on experience with LLMs, embeddings, RAG architectures, and frameworks such as LangChain, LlamaIndex, or Hugging Face.

·       Deep Learning Frameworks: Strong proficiency in PyTorch or TensorFlow, with deep knowledge of transformer architectures and modern NLP/CV models.

·       Software & Data Engineering: Expert-level Python skills (pytest, Git, OOP, asynchronous programming), solid SQL proficiency, and familiarity with data workflows.

·       Deployment & Cloud: Practical exposure to cloud platforms (AWS/GCP), containerization (Docker), API frameworks (FastAPI/Flask), and basic orchestration (Kubernetes).

Preferred Qualifications

·       Prior domain experience in Fintech, RegTech, Identity Verification (KYC/AML), Fraud Intelligence, or B2B SaaS.

·       Experience optimizing models for low latency and inference cost (e.g., ONNX, TensorRT, model quantization).

·       Familiarity with workflow orchestrators such as Airflow, Prefect, or Kubeflow.

We are seeking a highly skilled Python Programmer and Insurance Analytics Lead to design, develop, automate, and operationalize predictive model development pipelines for Property & Casualty (P&C) Insurance. The role involves building reusable Python frameworks, feature engineering pipelines, MLOps solutions, automated model deployment and monitoring, and scalable analytics platforms supporting pricing, underwriting, claims, fraud detection, retention, and risk analytics.

Key Responsibilities

• Design, develop, and maintain scalable Python frameworks and automated predictive modeling pipelines for P&C insurance.
• Build robust feature engineering pipelines and implement MLOps practices for model deployment, monitoring, and lifecycle management.
• Drive insurance rating modernization by transforming legacy rating engines and integrating predictive models into pricing platforms.
• Collaborate with Data Scientists, Actuaries, Cloud Engineers, and business stakeholders to deliver scalable insurance analytics solutions.
• Lead ETL development and optimization initiatives across multiple teams, improving data integration, quality, and processing efficiency.
• Drive strategic initiatives to enhance ETL practices, establish best practices, and develop long-term technology roadmaps.
• Lead and mentor a team of 5+ professionals, ensuring effective delivery and technical excellence.
• Represent the ETL team in executive-level meetings and collaborate with cross-functional stakeholders on strategic initiatives.
• Support analytics solutions across pricing, underwriting, claims, fraud detection, customer retention, and risk management.

Required Skills & Qualifications

• 9–12 years of experience in Python development, ETL, data engineering, or data management.
• Strong hands-on expertise in Python programming, including Pandas, NumPy, object-oriented programming (OOP), classes, and coding best practices.
• Experience developing automated data pipelines, ETL frameworks, and scalable data processing solutions.
• Working knowledge of AWS cloud services, particularly Amazon S3 and data integration.
• Strong SQL skills and experience with database integrations and data processing.
• Experience in Property & Casualty (P&C) insurance analytics, insurance pricing, rating engines, underwriting, claims, or risk analytics.
• Understanding of predictive modeling pipelines, feature engineering, and MLOps practices.
• Experience leading teams of 5+ professionals and driving cross-functional technical initiatives.
• Strong stakeholder management, communication, and strategic planning skills.

Preferred Qualifications

• Experience in insurance rating modernization and integrating predictive models into pricing platforms.
• Exposure to model deployment automation, monitoring, and scalable analytics platforms.
• Experience collaborating with actuarial, data science, and cloud engineering teams.
• A bachelor's or master’s degree in computer science, Data Science, Information Technology, or a related field.

Location & Travel

• Locations: New Delhi (Gurugram), Bangalore, and Pune.
• Candidates may be required to travel to Gurugram on a quarterly basis, depending on client requirements.

Shift: Second Shift (2:00 PM – 10:00 PM)

Joining: Immediate

About the Role

We are looking for an experienced Data Integration Developer with strong hands-on expertise in SQL, Python, ETL development, Snowflake, and AWS data services.

The ideal candidate should have extensive experience in designing, developing, and maintaining data integration solutions, building data warehouse architectures, and implementing scalable ETL pipelines. Strong SQL development and performance optimization skills are essential for this role.

This is a remote position; however, candidates must be available to visit our Mumbai or Bangalore location for three days during the onboarding process.

Key Responsibilities

SQL Development & Performance Optimization

• Develop complex SQL queries, stored procedures, and data transformation logic.
• Optimize SQL queries for performance, scalability, and efficiency.
• Perform advanced data analysis, validation, and reconciliation.
• Troubleshoot complex SQL and data-related issues.

ETL Development & Data Integration

• Design, develop, and maintain ETL pipelines and data integration workflows.
• Work with SQL and Python for data extraction, transformation, and loading.
• Ensure data accuracy, consistency, and integrity across systems.
• Identify and resolve data pipeline failures and integration issues.

Data Warehousing & Data Modeling

• Design and maintain data warehouse architectures.
• Develop data warehouse schemas based on business requirements.
• Work on dimensional data modeling, including Facts and Dimensions.
• Implement Slowly Changing Dimensions (SCD).
• Support data analysis and business information reconciliation.

Snowflake & AWS

• Develop and manage data solutions using Snowflake.
• Work with AWS services, particularly Amazon S3.
• Manage AWS connections and data access configurations.
• Build and maintain cloud-based data integration solutions.

Python & Apache Airflow

• Develop data processing and automation solutions using Python.
• Build, schedule, and monitor workflows using Apache Airflow.
• Troubleshoot workflow failures and improve pipeline reliability.

Agile & Development Lifecycle

• Participate in Agile development processes, sprint planning, and team discussions.
• Contribute throughout all stages of the software development lifecycle.
• Collaborate with cross-functional teams to understand business and technical requirements.
• Perform root cause analysis and implement appropriate corrective actions.

Required Skills

• Advanced SQL – Strong hands-on expertise is mandatory.
• Python Development
• ETL Development and Data Integration
• Snowflake
• Apache Airflow
• AWS Services, particularly Amazon S3
• AWS Connection Management
• Data Warehouse Architecture
• Data Modeling (Facts & Dimensions)
• Slowly Changing Dimensions (SCD)
• SQL Query Optimization and Performance Tuning
• Data Analysis and Reconciliation
• Troubleshooting and Root Cause Analysis
• Agile Development Methodologies
• Strong understanding of the Software Development Life Cycle (SDLC)

Experience & Qualifications

• 8–10 years of overall experience in Data Engineering / Data Integration / ETL Development.
• Strong professional experience in advanced SQL and Python.
• Hands-on experience with Snowflake, Apache Airflow, and AWS.
• Proven experience designing and developing data warehouse solutions.
• Experience working across the complete product development lifecycle.
• Ability to independently troubleshoot complex technical challenges.

Additional Requirements

• Immediate joiners preferred.
• Must be comfortable working in the second shift (2:00 PM – 10:00 PM).
• Position is remote, with a mandatory three-day onboarding visit to Mumbai or Bangalore.
• Strong communication, analytical, and problem-solving skills.
• Ability to work independently and collaboratively in an Agile environment.

• 3 years of relevant experience in DevOps, Site Reliability Engineering (SRE), cloud operations, or application production support.
• Strong practical understanding of AWS cloud services, including compute, storage, IAM, networking, security, and monitoring.
• Good Linux administration skills, including system troubleshooting, performance analysis, log investigation, and service management.
• Hands-on experience with GitLab CI/CD, including pipeline configuration, execution, troubleshooting, YAML files, variables, artifacts, and GitLab Runners.
• Mandatory hands-on experience with Infrastructure as Code (IaC), preferably Terraform, including infrastructure provisioning, configuration management, reusable modules, state management, and troubleshooting deployment issues.
• Working knowledge of Git, branching strategies, merge requests, and version control workflows.
• Good understanding of networking fundamentals, including DNS, TCP/IP, ports, routing, load balancers, and AWS security groups.
• Ability to systematically investigate and resolve infrastructure, application, and deployment issues using logs, metrics, monitoring tools, and dependency analysis.
• Working knowledge of Python or Shell scripting for operational automation and troubleshooting.
• Strong problem-solving skills, communication, collaboration, willingness to learn, and ownership of incidents through resolution.

Preferred Skills and Experience

• Basic SQL knowledge for application and database-related operational investigations.
• Experience with AWS monitoring and logging services, particularly Amazon CloudWatch.
• Familiarity with incident, problem, and change management processes in production environments.
• Exposure to operational automation, proactive monitoring, alert optimization, and root cause analysis (RCA).
• Understanding of cloud infrastructure best practices, including security, reliability, availability, and cost optimization.
• Experience supporting containerized applications using Docker, Kubernetes, or Amazon EKS would be an advantage.

Senior Ruby on Rails (RoR) & AWS Developer

Experience: 10 Years

Location: Bangalore

Work Mode: Hybrid – 3 days per week in office

Contract Duration: 6 Months

CTC: ₹9–12 LPA

Job Description

We are looking for an experienced Senior Ruby on Rails (RoR) & AWS Developer with strong expertise in backend development, cloud infrastructure, containerization, automated testing, and database management.

Mandatory Skills

• Strong experience in Ruby on Rails (RoR) development.
• Hands-on experience with Amazon Web Services (AWS).
• Experience with Docker and containerized applications.
• Proficiency in RSpec for automated testing and test-driven development.
• Strong knowledge of SQL and relational databases.
• Experience with at least one frontend technology: React.js or Angular.

Key Responsibilities

• Design, develop, test, and maintain web applications using Ruby on Rails.
• Build and integrate REST APIs and backend services.
• Deploy and maintain applications on AWS.
• Containerize applications using Docker.
• Write and maintain automated test cases using RSpec.
• Develop and optimize SQL queries and database operations.
• Collaborate with frontend developers and cross-functional teams.
• Troubleshoot application issues and improve performance, reliability, and code quality.

Work Requirements

• Approximately 10 years of relevant professional experience.
• Willingness to work from the Bangalore office 3 days per week.
• Comfortable with a 6-month contract engagement.

Interested candidates can share their updated resumes for consideration.

We’re Hiring | Technology Lead – Java & AWS

Locations: Kochi | Trivandrum | Bangalore

Experience: 15–18 Years

Key Skills: Java, AWS, AI/ML

What We’re Looking For

Strong hands-on expertise in Java and enterprise application development.

Solid experience with AWS and cloud-based architectures.

Practical experience implementing AI/ML solutions.

Expertise in solution architecture, system integration, and scalable application design.

Proven ability to lead technical initiatives while remaining actively involved in coding, design, and troubleshooting.

Experience delivering end-to-end enterprise solutions.

About the company:

We empower US healthcare payers with a truly next-generation, cloud-native, holistic, and customizable platform designed to prevent and adapt to the ever-evolving inaccuracies in healthcare claims and payments. By reducing complexity and administrative costs, we offer a unified, healthcare-dedicated platform backed by top VCs like BeeNext, 3One4 Capital, and Saison Capital.

Position Overview:

We are looking for an experienced DevOps Engineer to join our team in Bengaluru. In this role, you will be responsible for building, optimizing, and maintaining scalable, secure, and highly available multi-cloud infrastructure that supports our engineering teams. The ideal candidate brings strong hands-on experience with Kubernetes, Infrastructure as Code (Terraform), and robust monitoring/observability stacks to enable seamless, reliable, and automated deployments.

Key Responsibilities:

• Container Orchestration: Deploy, scale, and manage containerized workloads on Kubernetes (EKS, AKS, and GKE).
• Infrastructure as Code (IaC): Build and maintain modular, reusable, and version-controlled infrastructure using Terraform across AWS, Azure, and GCP.
• Monitoring & Observability: Set up, manage, and optimize monitoring, logging, and alerting stacks (e.g., Prometheus, Grafana, ELK/EFK, Loki, Datadog).
• CI/CD Pipeline Management: Own, improve, and automate CI/CD pipelines to enable fast, reliable, and frictionless software releases.
• System Reliability & SRE Practices: Implement best practices for system reliability, including defining SLIs/SLOs, managing incident response, and participating in on-call support.
• Troubleshooting & Support: Diagnose and resolve complex production issues across infrastructure, networking, and application layers.
• Security & Compliance: Implement infrastructure security best practices, including IAM policies, secrets management, and network security.
• Automation: Eliminate repetitive operational tasks by writing clean, efficient scripts in Python, Bash, or Go.
• Operations & Planning: Participate in capacity planning, cost optimization, disaster recovery, and infrastructure scaling initiatives while maintaining clear documentation and runbooks.

Requirements :

• Solid working experience with cloud providers, specifically AWS, Azure, or GCP.
• Strong understanding of containerization (Docker) and container orchestration concepts.
• Familiarity with Linux system administration and networking fundamentals.
• Experience with version control systems (Git) and GitOps workflows (ArgoCD/Flux is a plus).
• Strong problem-solving skills and the ability to thrive in a fast-paced, collaborative environment.

Qualifications :

Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related technical field (or equivalent practical experience)

Key Skills:

• The ideal candidate must possess deep expertise in container orchestration, specifically hands-on experience managing Kubernetes ecosystems—including Helm charts, cluster networking, and RBAC policies—alongside a foundational mastery of Docker containerization.
• Proficiency in managing cloud architecture as software is essential, with a heavy emphasis on Terraform execution, including advanced module creation, state management, and multi-environment workspaces.
• A strong capability to implement full-stack visibility is required, utilizing tools like Prometheus, the Grafana LGMT stack, ELK/EFK, or Loki to build highly optimized monitoring, alerting, and logging systems.
• Candidates should have a proven track record of constructing and scaling automated deployment pipelines using industry-standard platforms such as Jenkins, GitLab CI, GitHub Actions, or Azure DevOps to minimize release friction. .
• Strong core programming fundamentals are required to automate repetitive infrastructure tasks, with practical proficiency in Python, Bash, or Go.
• Familiarity with cutting-edge cloud-native technologies is highly desirable, including enterprise service meshes (Istio, Linkerd), comprehensive cloud security frameworks (HashiCorp Vault, OPA, Trivy), and a data-driven approach to cloud cost management and FinOps practices.

Work Location: Jayanagar - Bangalore.

Work Mode: Work from Office, hybrid- 3 days WFO

Note: We are looking for immediate joiners & Bangalore Candidates only

Benefits:

• Best-in-class compensation
• Health insurance for Family
• Personal Accident Insurance
• Friendly and Flexible Leave Policy
• Certification and Course Reimbursement
• Medical Coding CEUs and Membership Renewals
• Health checkup
• And many more!

Work Mode: Hybrid

Notice Period: Immediate to 1 week

Application Support Specialist - Maximo

Position summary:  A Maximo Application Support Specialist in Kyndryl, is a person who has good experience in providing application support and troubleshooting for the customer’s Maximo application and can understand customizations. Person will troubleshoot and resolve application incidents and service requests and work on minor enhancement. The responsibilities are as defined in role description and responsibilities section below.

Work experience: Overall 10+ years of relevant IT experience, with focus on application support and development across Maximo system. Out of that, 7+ years deep expertise in a support domain with required technical skills.

Role description

1.     Handles application support and potential project activities related to Maximo application as a subject matter expert.

2.     Ability to cross train others in the technical area(s) as to provide backup personnel when not available.

3.     Ability to learn other tech skills to maximize utilization and contribute to overall application support.

Responsibilities

The chosen candidate will take on the following responsibilities in the following areas.

o  Maximo Applications Support (Level 2 and 3)

o  Take knowledge transfer from existing integration Subject Matter Experts while improving documentation, processes and ways of working.

o  Engage with users to support Maximo incidents, requests and alarms based on Service Level Agreements while striving to provide high standards and quality of customer service.

o  Work with Third Party Vendors as necessary.

o  Ability to learn and understand customers’ business and applications environment.

o  Provide timely and high-quality documentation in ServiceNow of all investigations and user, business analyst, customer IT and third party interactions.

o  Train other team members to enable them to provide coverage when unavailable

o  Ability to cross train and learn new technical skills to help improve overall performance and ability to contribute to application management support.

o  Performing code review of fixes and project deliverables. Lead work sessions and client discussion with application development/support teams.

o  Perform code/configuration changes based on the defined strategy and architecture.

o  Collaborate with enterprise architecture, information security, application & infrastructure teams to produce an optimal, high level, conceptual, and cost-effective application designs by using best practices.

o  Provide and lead root cause analysis for all Priority 1 issues related to Maximo

Experience

1.     Must have experience in Maximo application support. (Working experience of support / configuration of Maximo).

2.     Diagnose and resolve Maximo configuration, data, performance, and access issues

3.     Investigate failed or delayed Maximo-to-SAP transactions involving purchase orders, goods receipts, invoices, vendors, etc.

4.     Reprocess failed purchase orders, receipts, interface files and integration messages

5.     Support supplier setup and synchronization across Maximo, SAP and Custom built applications

6.     User Administration, security groups, roles, privileges

7.     Experience troubleshooting workflows, PO approvals and inventory transactions

8.     Configuration of workflows, domains, application settings

1. Familiarity with Service Now and ITIL processes

10.  Must have performed Level 2/3 application support in a managed services environment

11.  Experience in manufacturing industry (Metals)

Essential Technical Skills:  

Candidate should have experience as per below technical skill matrix

Maximo Application Support

Primary / Good to have

Maximo is SaaS and is in AWS.

It is version 9.1.

Client uses 900 app points for licensing.

ServiceNow

Maximo Asset Management

Professional Attributes:

o Strong collaboration skills within and across teams, geographies and domains

o Strong communication skills, written and verbal

o Proficient in Application Support and ITIL processes

o Self-starter who thrives in an ever-changing, fast-paced business environment

o Adaptability to the rapid change in technology

About the role

We are hiring a Principal Engineer to own the hardest technical problems in our product and see them through from first sketch to stable production. You will set technical direction, design systems that scale, and raise the engineering bar through your own work and the people around you. This is a hands-on leadership role: you write code, review designs, and ship.

What will you do?

You will own outcomes, not just tasks. Expect to spend your time on the following.

• Own projects end to end. Take an ambiguous problem, shape the requirements, design the solution, break down the work, deliver it to production, and stay accountable for how it runs afterwards.

• Lead system design. Author and review architecture for services, data pipelines and integrations, with clear trade-offs on scale, latency, cost, consistency and reliability.

• Write and review critical code. Build the hardest components yourself, and set standards for code quality, testing and maintainability through code and design reviews.

• Own deployment and operations. Design CI/CD, infrastructure and release strategies. Drive observability, on-call readiness, incident response and post-incident learning.

• Solve hard problems. Debug production issues across the stack, and find root causes in performance, concurrency, data and scaling problems.

• Mentor and multiply. Coach senior and junior engineers, grow future tech leads, and make the whole team faster and more confident.

• Partner across functions. Work with product, design, data and business teams to turn goals into technical plans, and to say no or reshape scope when needed.

• Shape technical strategy. Guide build-versus-buy decisions, manage tech debt, evaluate new technologies, and contribute to the engineering roadmap.

• Raise the bar. Help define engineering practices, hiring standards and culture, and take part in interviewing.

What are we looking for?

• Bachelor's degree in Computer Science or a related field, or equivalent practical experience.

Core engineering

• 10+ years of professional software engineering, with a track record of shipping and running production systems.

• Strong computer science fundamentals: data structures, algorithms and complexity, operating systems, networking, databases and concurrency.

• Fluency in at least one major backend language (for example Python, Go, Java, or Node.js/ TypeScript) and the ability to pick up others quickly.

• Deep knowledge of relational and NoSQL data stores: schema design, indexing, transactions, query tuning and replication.

System design and problem solving

• Proven ability to design distributed systems that are scalable, fault tolerant and cost aware, and to explain the trade-offs clearly.

• Experience with APIs, event-driven and asynchronous architectures, queues, caching and service-to-service communication.

• A structured approach to ambiguous problems: break them down, test assumptions, decide with incomplete data, and measure results.

• Strong debugging instincts, including performance profiling and production troubleshooting.

Delivery and operations

• Have led at least two significant projects from inception to production, including planning, milestones, risk management and launch.

• Hands-on experience with deployment: CI/CD pipelines, containers (Docker, Kubernetes), a major cloud (AWS, GCP or Azure), and infrastructure as code.

• Practical experience with monitoring, logging, alerting, SLOs and incident management.

• Habit of writing tests and automation, and of leaving systems more reliable than you found them.

Leadership and communication

• Experience leading engineers without formal authority, through influence, mentoring and clear technical writing.

• Excellent written and verbal communication: design docs, RFCs and concise updates to non-technical stakeholders.

• Ownership mindset, sound judgment on priorities, and comfort working in a fast-moving environment.

Nice to have

• Experience in fintech, lending or another regulated, data-heavy domain.

• Exposure to AI/ML or LLM-based systems in production: model serving, evaluation, retrieval, and cost and latency management.

• Deep experience with data engineering: streaming, batch pipelines, warehouses or search systems.

• Security and compliance awareness: authentication, encryption, audit trails, secure SDLC.

• Experience with multi-tenant SaaS, high-throughput systems or zero downtime migrations.

• Open-source contributions, conference talks, or technical writing.

• Experience scaling an engineering team or helping set up hiring and onboarding practices.

Job Summary

We are looking for an experienced DevOps Engineer with strong expertise in Linux administration, CI/CD automation, containerization, Kubernetes, cloud platforms, and Infrastructure as Code (IaC). The candidate should have experience in observability, DevSecOps practices, networking, AIOps, and certificate and secret management.

Mandatory Skills

• Strong experience in Linux administration and troubleshooting.
• Hands-on experience with Git and version control systems.
• Strong knowledge of CI/CD pipelines and automation.
• Experience with Docker and containerization.
• Hands-on experience with Kubernetes and/or OpenShift.
• Cloud experience with AWS and/or Microsoft Azure.
• Infrastructure as Code (IaC) using Terraform.
• Scripting experience using Python and Shell scripting.
• Monitoring and observability tools such as Prometheus, Grafana, AppDynamics, and Splunk.

Additional Skills

• Knowledge of DevSecOps practices and security integration into CI/CD pipelines.
• Understanding of networking concepts and troubleshooting.
• Exposure to AIOps and intelligent monitoring solutions.
• Experience with certificate management and secrets management.
• Knowledge of infrastructure automation, deployment, and performance monitoring.
• Strong troubleshooting, problem-solving, and collaboration skills.

Key Responsibilities

• Design, implement, and maintain CI/CD pipelines for automated build and deployment processes.
• Manage and troubleshoot Linux systems, Docker containers, and Kubernetes/OpenShift environments.
• Automate infrastructure provisioning and configuration using Terraform.
• Manage cloud infrastructure across AWS and/or Azure.
• Develop automation scripts using Python and Shell.
• Implement monitoring, logging, and observability solutions.
• Integrate security practices into DevOps workflows and CI/CD pipelines.
• Manage certificates, secrets, and secure access to infrastructure and applications.
• Troubleshoot infrastructure, application, networking, and deployment issues.
• Improve system reliability, scalability, security, and operational efficiency.

Responsibilities:

• Add a new feature to existing infrastructure platforms.
• Collaborate across teams and lead technical discussions with clients and internal teams.
• Mentor junior team members through mob-pairing/1:1 pairing sessions.
• Adapt to different roles and technologies as project needs evolve.
• Proactive mindset with excellent client communication, collaboration, and writing skills.
• Use methodologies like Agile and Lean to manage projects and deliverables.
• Document technical solutions and knowledge for team reference.
• Stay current with industry trends and emerging technologies.

Requirements:

• Experience with managing large-scale infrastructure systems.
• Experience as a reliability engineer is good.
• Proficiency in at least one programming language.
• Good understanding of software delivery principles.
• Ability to adapt to different roles and technologies when needed

Required Technical Skills:

• You have spent some time building software systems or self-service systems for internal teams.
• You have a good understanding of Linux, software-defined, and cloud networking.
• You have work experience in configuration management and using tools like Ansible and Chef.
• You must have a good understanding of continuous integration and continuous delivery concepts, not just tools.
• Experience with tools like Jenkins, GitHub Actions, GitLab CI, etc. is required.
• It would be a plus if you have worked with GitOps tools like Argo CD or Flux CD.
• You are familiar with the cloud-native ecosystem and tools like Prometheus, OpenTelemetry, and Envoy.
• In-depth understanding of containers and container orchestrators like Nomad, Kubernetes, etc.
• You should deeply understand managing and organizing infrastructure as code and have worked with tools such as Terraform, Pulumi, CloudFormation, and AWS CDK.
• You are familiar with at least one primary cloud provider, such as Google Cloud Platform (GCP), Amazon Web Services (AWS), or Microsoft Azure.
• You understand observability well and can collaborate with dev teams to improve their observability systems.
• You have a good understanding of the principles of distributed systems.
• You understand how SQL and NoSQL databases work and what is needed to manage them.
• You have familiarity with basic cloud security.

# Job Description: Backend Developer (Microservices)

*Company:* PublicNext (ElectReps Pvt. Ltd.)

*Location:* Bengaluru, Karnataka

*Experience:* 0–1 Year

*Employment Type:* Full-time

## About PublicNext

PublicNext is Karnataka’s hyperlocal digital news platform, delivering news and video content across the state through its website and mobile applications. We are looking for a passionate Backend Developer to join our technology team and help build scalable, high-performance backend services using a microservices architecture.

## Role Overview

As a Backend Developer, you will design, develop, test, and maintain backend microservices that power PublicNext’s web and mobile applications. This role is ideal for fresh graduates or developers with up to one year of experience who are eager to learn backend engineering, APIs, databases, and scalable system design.

## Key Responsibilities

- Develop and maintain backend microservices for PublicNext’s web and mobile applications.

- Build and integrate RESTful APIs for news feeds, articles, videos, user activity, notifications, and other platform features.

- Write clean, efficient, maintainable, and reusable code.

- Work with databases such as PostgreSQL and MongoDB.

- Implement API validation, error handling, authentication, and authorization where required.

- Debug issues, fix bugs, and improve application performance.

- Write unit tests and participate in code reviews.

- Collaborate with frontend, mobile app, QA, and DevOps teams.

- Work with Git for version control and follow established development practices.

- Learn and contribute to deploying and monitoring services in a cloud environment.

## AI-Driven Software Development

- Hands-on experience using AI-powered development tools such as GitHub Copilot, Cursor, Claude,kiro,antigravity, opencode , or similar tools.

-Ability to leverage AI for code generation, refactoring, debugging, test creation, documentation, and code reviews.

-Proficiency in AI-assisted development workflows, including prompt engineering, context management, and iterative code refinement.

-Ability to validate AI-generated code for correctness, security, performance, and maintainability.

## Required Skills

- Strong programming fundamentals in Go (Golang) or a willingness to learn Go quickly.

- Basic understanding of REST APIs, HTTP methods, JSON, and client-server architecture.

- Familiarity with SQL and relational databases.

- Basic knowledge of data structures, algorithms, and object-oriented or structured programming.

- Familiarity with Git and GitHub/GitLab.

- Understanding of debugging, error handling, and writing modular code.

- Willingness to learn microservices architecture, caching, and distributed systems.

## Good to Have

- Academic projects or internship experience in backend development.

- Exposure to PostgreSQL, MongoDB, Redis, or message queues.

- Basic knowledge of Linux, Docker, and cloud platforms such as AWS.

- Experience building APIs or backend services for web or mobile applications.

## Education

- B.E./B.Tech in Computer Science, Information Science, IT, or a related discipline.

- BCA, MCA, or equivalent qualifications will also be considered.

- Freshers with strong programming fundamentals and practical projects are encouraged to apply.

## Who Should Apply?

- Fresh graduates interested in backend engineering.

- Developers with 0–1 year of experience who enjoy solving technical problems.

- Candidates eager to learn Go, microservices, databases, and scalable backend systems.

- Candidates who take ownership, learn quickly, and work well in a collaborative team.

Job Description

Role: Site Reliability Engineer (SRE)

Experience: 8+ Years

Location: Bangalore

Notice Period: Immediate Joiners Only

Key Responsibilities

• Implement reliability practices across applications and cloud platforms.
• Monitor and troubleshoot production systems using observability tools.
• Manage incidents, perform root cause analysis (RCA), and prepare post-incident reports.
• Develop and maintain CI/CD pipelines and automate operational tasks.
• Improve system availability, performance, scalability, and operational stability.
• Develop proof-of-concepts and convert them into production-ready solutions.
• Collaborate with engineering teams to improve reliability and reduce operational toil.
• Use AI tools responsibly to enhance operational efficiency and productivity.

Required Skills

• Strong SRE fundamentals and production support experience.
• Hands-on experience with AWS cloud services and best practices.
• Observability tools: Splunk, Grafana, and Datadog.
• Understanding of metrics, logs/events, and distributed tracing.
• Familiarity with Amazon Connect and contact center technologies, including voice, call recording, and telephony.
• CI/CD tools: Jenkins/Jules; source control: Git/Bitbucket.
• Scripting and automation skills are preferred.
• Experience in incident management, troubleshooting, and RCA documentation.
• Cloud certification or experience supporting cloud-based applications.
• Familiarity with AI concepts and responsible AI tool usage.

Location: Bangalore (Hybrid)

Experience: 10–15 Years

About the Role

At Twenty20 Systems, we are looking for a Solution Architect – Integration (Pre-Sales & Delivery) who can bridge the gap between business, technology, and client success.

This role is ideal for someone who combines strong integration architecture expertise with client-facing consulting, solutioning, and delivery leadership. You will play a key role in shaping client solutions, driving technical discussions, building scalable architectures, and ensuring successful delivery of enterprise integration programs.

This is a role for someone who enjoys owning the solution end-to-end — from pre-sales conversations to delivery execution.

What You’ll Do

• Lead solution architecture and technical consulting for enterprise integration opportunities.
• Work closely with sales, customers, and internal teams to understand requirements and design scalable integration solutions.
• Drive pre-sales activities including solutioning, technical proposals, architecture diagrams, effort estimation, and client presentations.
• Design and review API-led, event-driven, and iPaaS-based integration architectures across enterprise applications.
• Support delivery teams in ensuring architecture alignment, best practices, and successful implementation.
• Provide technical leadership across integration design, troubleshooting, governance, and production support.
• Partner with clients and internal stakeholders to solve business challenges through integration-led digital transformation.
• ​Mentor engineering teams and contribute to reusable frameworks, accelerators, and delivery playbooks.

What Your First 3 Months Will Look Like

• Understand our product, integration ecosystem, and customer requirements.
• Start leading client solution discussions and pre-sales technical conversations.
• Support ongoing delivery programs with architecture guidance and solution oversight.
• Build strong alignment across sales, product, engineering, and customer teams.

Where You’ll Be in 6 Months

• Leading end-to-end integration solutioning for key customer opportunities.
• Acting as a trusted technical advisor during both pre-sales and delivery stages.
• Driving architecture best practices and reusable integration frameworks.
• Contributing to business growth by enabling stronger technical solutioning and client confidence.

Roles and Responsibilities

• Build features across the stack — Implement product features that span the React frontend, the GraphQL federation, the Node.js microservices, and the underlying Postgres and ClickHouse stores.
• GraphQL federation work — Add types, resolvers, and subgraph capabilities to the federated Platform API. Keep subgraph boundaries clean. Respect RBAC enforcement at the federation layer.
• Developer experience surfaces — Lift NPS through intuitive UI/UX, fast onboarding, in-browser testing, clear error states, code-snippet generation, and fast time-to-first-successful-call.
• Billing and commerce features — Ship subscription, plan, invoice, payout, and overage features that touch Stripe / PayPal webhooks, the billing state machine, and the usage ledger.
• API catalog and discovery — Improve marketplace search and the API listing experience, including the ranking signals that flow in from the analytics and search stack.
• Observability and quality — Instrument every feature you ship — logs, traces, and metrics are part of the definition of done, not a follow-up ticket. Write the alerts that page you, not someone else.
• Testing discipline — Own unit and integration tests for everything you ship; contribute to the end-to-end and contract test suites that protect the federation and the billing path. A feature without tests is not done.
• On-call and incident response — Take part in on-call rotations; investigate proxy errors, GraphQL federation timeouts, and billing webhook anomalies. You build it, you run it.
• LLM-assisted engineering — Use LLM-based coding and agentic tooling to evolve how features are shipped, reviewed, and tested.

What Success Looks Like

•  Features you ship measurably improve activation, time-to-first-successful-call, and developer NPS quarter over quarter.
• The GraphQL federation surface you touch stays fast, well-typed, and intuitive for the next engineer.
• Billing, subscription, and overage flows you build are accurate, auditable, and replayable — providers and consumers trust the numbers.
• ou ship at a confident cadence — PRs land daily, deploys are routine and boring, regressions are rare.
• You leave the code, the docs, and the tests in better shape than you found them.

What You Bring

• 4–7 years of full-stack product engineering experience, with non-trivial work on production systems used by real customers.
• Strong TypeScript/Node.js; comfort writing both frontend (React) and backend services.
• Hands-on GraphQL experience — ideally federation (Apollo Federation / Mercurius / similar), schema design, subgraph composition, persisted queries, performance tuning.
• Solid SQL and comfort with MySQL or Postgres in production; bonus for ClickHouse or Redis experience.
• Familiarity with AWS (EKS, Lambda, Aurora) and containerised deployment on Kubernetes.
• Comfortable with modern observability, feature flags, and CI/CD pipelines.
• Care for developer experience — APIs you would want to consume, docs you would want to read, errors you would want to debug.
• Bonus: experience with billing/commerce systems (Stripe / PayPal), API gateways, rate-limiting, agent protocols (MCP, A2A, x402), or LLM-based developer tooling.
• You are pragmatic, ship-oriented, and comfortable in a system big enough that no one person knows all of it.

Role overview:

·         Technology Expertise & DBA Skill Set

·         Cloud Platforms: AWS, Azure

·         Database IaaS: Oracle, Microsoft SQL Server, PostgreSQL

·         Database PaaS: CosmosDB, MySQL, SQL Managed Instance, RDS Aurora, MongoDB

·         Infrastructure as Code: Terraform, Ansible

·         CI/CD & Automation: GitHub Actions, GitLab, Azure DevOps

·         Programming & Scripting: Python, Bash/Shell, PowerShell

·         Operating Systems: Linux/Unix (RHEL, Ubuntu), Window

Database Team Overview

Our Database Team is the foundation of enterprise-grade databases delivering secure, compliant and high-performing database platforms across Azure and AWS. We provide managed services for Oracle and Microsoft SQL Server, operating in a system DBA role to ensure platform reliability, resilience, and operational excellence. In addition, we support PaaS and RDS database services by acting as the platform team defining policies, enforcing security standards, and managing networking configurations while enabling self-service capabilities for application teams to consume these services efficiently.

What would you do here:

·         Database Security & Compliance: Implement robust security controls, encryption, and auditing to safeguard sensitive data and meet regulatory requirements.

·         Lifecycle Management: Oversee patching, upgrades, and end-of-life transitions to maintain platform stability and minimize risk.

·   Performance Optimization: Monitor and tune databases for optimal performance across diverse workloads.

·         Automation & Operational Excellence: Design and deploy automation for provisioning, monitoring, and maintenance to achieve “brilliant basics” and reduce manual intervention.

·         Business-Critical Certification: Validate and certify database environments to support mission-critical applications with high availability and disaster recovery strategies.

·         Incident & Problem Management: Provide rapid response and  root-cause analysis for database-related incidents to ensure business continuity.

·         Capacity Planning & Scalability: Forecast growth and optimize resources to support evolving business needs.

Best Regards!

IT professional with approximately 4 year experience. Expert in production support, application support, aws, application support devops engineer, linux, docker, github, jenkins, maven, tomcat server, kubernetes.

Key Responsibilities

• Build and ship features across the frontend and backend.

• Design and implement RESTful APIs with appropriate validation and error handling.

• Write clean, maintainable, well-tested code.

• Participate in code reviews and collaborate with the engineering team.

• Use AWS services such as S3 and Lambda for file storage, serverless functions, and scheduled tasks.

• Debug production issues using Sentry and New Relic.

• Contribute to CI/CD pipelines and deployment processes

Must-Have Skills

• Strong proficiency in Go (Golang).

• Hands-on experience with Next.js and TypeScript.

• Solid understanding of PostgreSQL, including queries, schema design, and migrations.

• Experience designing and implementing REST APIs.

• Familiarity with Git and collaborative workflows, including pull requests, code reviews, and branching.

• Strong problem-solving skills and the ability to debug independently.

Good to Have

• Experience with AWS services such as S3, Lambda, EC2, and CloudWatch.

• Experience with Docker and containerized deployments.

• Familiarity with CI/CD using GitHub Actions.

• Understanding of cron jobs and background task processing.

• Experience working in a small, fast-moving team. 

Cloud Engineers – 2nd Shift – 4+ Years Experience

Required Qualifications:

• Strong experience in AWS infrastructure components and operational management (e.g., EC2, S3, VPC, IAM).
• Proficiency in IaC tools such as Terraform and/or CloudFormation.
• Solid scripting skills in Python, Bash, or equivalent for automation tasks.
• Experience with monitoring and logging tools (e.g., CloudWatch, Prometheus, ELK).
• Familiarity with network fundamentals: DNS, firewall rules, virtual networks.
• Strong troubleshooting mindset and experience resolving production-level issues.
• Excellent documentation and communication skills to maintain system knowledge and collaborate with teams.

Preferred Qualifications:

• AWS certifications (e.g., SysOps Administrator).
• Experience with containerization (Docker, Kubernetes/EKS/ECS).
• Exposure to CI/CD tooling like Terraform, DevOps, GitHub Actions, or any other DevOps tools.
• CI/CD pipeline, infra pipelines.
• AWS services like compute, network, storage, security.
• Migration experience like Discovery/Assessments, TA, Infra Design.

Job Summary

We are looking for an experienced Python Developer for the position of Delivery Module Lead. The ideal candidate should have strong hands-on experience in Python programming, front-end technologies, and back-end development. The candidate will be responsible for developing scalable web applications, integrating APIs, and collaborating with cross-functional teams to deliver high-quality software solutions.

Key Responsibilities

• Design, develop, and maintain scalable web applications using Python and front-end technologies.
• Collaborate with product managers, designers, and developers to understand business requirements and implement solutions.
• Develop responsive user interfaces and optimize application performance across different browsers and devices.
• Write clean, reusable, and maintainable code following development best practices.
• Conduct code reviews and ensure code quality and standards.
• Debug, troubleshoot, and resolve application issues.
• Develop and integrate RESTful APIs and web services.
• Participate in Agile development activities, including sprint planning, daily stand-ups, and retrospectives.
• Continuously improve development processes and stay updated with emerging technologies.

Mandatory Skills

• Strong proficiency in Python programming.
• Hands-on experience with HTML, CSS, and JavaScript.
• Experience with front-end frameworks such as React, Angular, or Vue.js.
• Experience with back-end frameworks such as Django or Flask.
• Good understanding of RESTful APIs and web services.
• Experience with Git and version control systems.
• Strong problem-solving and analytical skills.

Preferred Skills

• Knowledge of databases such as PostgreSQL, MySQL, or MongoDB.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud.
• Familiarity with Docker and containerization technologies.
• Understanding of CI/CD pipelines and DevOps practices.
• Experience with Agile methodologies and project management tools.

Position: Test Engineer (Manual / Automation)

Location: Bangalore

Experience: 3-5 years

Employment Type: Full-time

About the Role

We are looking for a skilled Test  Engineer with strong experience in manual and automation testing to collaborate  QA efforts across multiple projects. The ideal candidate will drive testing strategy and ensure product quality through process excellence and automation adoption.

Key Responsibilities

·       Define and implement test strategies, plans, and quality standards.

·       Oversee test design, execution, defect tracking, and triage.

·       Drive automation and integrate testing with CI/CD pipelines.

·       Collaborate with cross-functional teams for timely, quality releases.

·       Track and report QA metrics (defect density, coverage, leakage, progress).

·       Conduct risk-based testing and prioritize critical areas.

·       Manage test data, environments, and reviews for continuous improvement.

·       Ensure best testing practices and high-quality delivery across projects.

Required Skills & Qualifications

• Bachelor’s in Computer Science, IT, or related field.
• Strong manual testing and test case design skills.
• Hands-on experience with automation tools (Selenium, Playwright, Cypress, etc.).
• API testing experience (Postman, Swagger).
• Understanding of SDLC, Agile/Scrum, and CI/CD.
• Excellent problem-solving, communication, and mentoring skills.

Good to Have

• Knowledge of performance testing tools (JMeter, LoadRunner).
• Exposure to cloud-based testing (AWS, Azure).

Why Join Us?

• Lead a high-performing QA team with real ownership.
• Build automation frameworks and influence testing strategy.
• Exposure to full SDLC and enterprise-scale applications.
• Growth path toward QA Manager / Head of QA.

Job Description:

We are looking for an experienced Senior Full Stack Engineer with strong expertise in Java, Node.js, frontend technologies, AWS cloud services, and basic AI integration.

Required Skills:

• Java, Spring Boot, Node.js
• React / Angular / Vue.js
• REST APIs, SOA, Microservices
• AWS EC2, Lambda, EKS, CloudWatch
• AWS CDK, CloudFormation
• Docker, CI/CD
• MongoDB, AWS Architecture
• Basic experience with Amazon Bedrock / AI Integration

Important Requirements:

• 7–12 years of relevant experience.
• Must be currently based in Bangalore.
• Immediate joiners or candidates serving notice up to 25 days only.
• No relocation candidates.

Job Summary 

A Senior Full Stack Observability Engineer – AI Ops & Autonomous Observability to handle / manage , Design and implement enterprise-wide observability across applications, infrastructure, cloud, network, database and digital services. Lead adoption of Datadog, AI Ops, SRE and Autonomous Observability. Build agentic AI and multi-agent orchestration solutions that automate operational workflows and enable autonomous operations.

Technical Skills

• Datadog (Expert)
• OpenTelemetry
• Distributed Tracing
• Application Performance Monitoring
• AI Ops
• LangGraph/CrewAI/AutoGen/Semantic Kernel
• Python
• Azure, AWS
• Kubernetes
• ServiceNow Integration
• 
  

Enterprise Observability Strategy

• Define observability standards, governance and operating model.
• Create monitoring roadmaps, service health frameworks, business service dashboards and dependency mapping.
• 
  

Full Stack Observability Scope

• Applications, APIs, microservices and user journeys.
• Windows, Linux, VMware, storage and infrastructure platforms.
• Azure and AWS.
• Network monitoring, SQL and NoSQL databases.
• 
  

Datadog Platform

• Deploy and optimize Datadog solutions.
• Build dashboards, monitors, alerts and observability-as-code frameworks.
• Integrate Datadog with ServiceNow, Teams and enterprise tooling.
• New Relic exposure is optional.
• 
  

AI Ops Responsibilities

• Event correlation and noise reduction.
• Predictive analytics and anomaly detection.
• Incident intelligence and root cause analytics.
• Proactive issue identification and MTTR reduction

Strong Data Engineer (AWS) Profile

2

Mandatory (Experience 1) – Must have minimum 6+ years of experience in Data Engineering, with strong experience designing, developing, and maintaining scalable data pipelines and ETL processes.

3

Mandatory (Experience 2) – Must have 3+ years of hands-on experience with AWS data engineering services, particularly S3, AWS Glue, EMR, Lambda, and Redshift.

4

Mandatory (Experience 3) – Must have strong programming experience in Python, Java, or Scala, with hands-on development of data processing and pipeline solutions.

5

Mandatory (Experience 4) – Must have strong expertise in SQL, data warehousing, and database technologies, including experience with both SQL and NoSQL databases.

6

Mandatory (Experience 5) – Must have hands-on experience working with Big Data technologies and distributed data processing, including designing and optimizing large-scale data pipelines.

7

Mandatory (Experience 6) – Must have experience with data pipeline troubleshooting, monitoring, data quality, governance, and security best practices.

8

Mandatory (Education) – B.Tech / B.E./ M.Tech

We are seeking a highly skilled Full-stack Developer to join our dynamic 

team as a Delivery Module Lead. The ideal candidate will possess strong expertise in Python 

and front-end technologies, enabling them to design, develop, and maintain robust web 

applications. This role requires a proactive individual who can collaborate effectively with 

cross-functional teams to deliver high-quality software solutions that meet business needs. 

Responsibilities: 

∙Design, develop, and maintain scalable web applications using Python and front-end 

technologies. 

∙Collaborate with product managers, designers, and other developers to define project 

requirements and deliver solutions that meet user needs. 

∙Implement responsive user interfaces and ensure optimal performance across various 

devices and browsers. 

∙Write clean, maintainable, and efficient code while adhering to best practices and 

coding standards. 

∙Conduct code reviews and provide constructive feedback to team members to enhance 

code quality. 

∙Debug and troubleshoot issues in existing applications, providing timely resolutions. 

∙Stay updated with emerging technologies and industry trends to continuously improve 

development processes. 

∙Participate in Agile development processes, including sprint planning, daily stand-

ups, and retrospectives. 

Mandatory Skills: 

∙Proficient in Python programming language. 

∙Strong knowledge of front-end technologies such as HTML, CSS, and JavaScript. 

∙Experience with front-end frameworks like React, Angular, or Vue.js. 

∙Familiarity with back-end frameworks such as Django or Flask. 

∙Understanding of RESTful APIs and web services. 

∙Experience with version control systems, preferably Git. 

∙Strong problem-solving skills and attention to detail. 

About the Role

We are hiring a Backend Engineer to build and operate the services that power a leading technology marketplace being relaunched under new ownership.

You will work behind the GraphQL federation, inside the ~40 microservices that own billing, subscriptions, the catalog, RBAC, the proxy's control plane, and the Analytics/Quota services. The runtime is Node.js/TypeScript on AWS EKS, with Aurora MySQL / Postgres and DynamoDB for state, Redis / Elasticache / Couchbase for caching, Kafka (MSK) and Kinesis as the event backbone, and ClickHouse for real-time analytics reads. Every consumer-to-provider call passes through the proxy your services configure, and every dollar of marketplace revenue flows through the commerce code your services own.

Roles and Responsibilities

• · Build and operate services — Design, ship, and run Node.js/TypeScript services that sit behind the GraphQL federation. Own a slice of the ~40-service estate end-to-end: API design, schema, persistence, tests, deployment, on-call.
• GraphQL federation subgraphs — Add types, resolvers, and capabilities to the federated Platform API. Keep subgraph boundaries clean; respect RBAC at the federation enforcement layer.
• Commerce backbone — Build the subscription, invoicing, overage, dispute, and payout flows that integrate with Stripe and PayPal webhooks and the billing state machine. Make sure metering, billing, and payouts stay accurate, auditable, and replayable.
• Proxy control plane — Build the management APIs and background workers that configure the runtime proxy: API keys, plans, rate-limit policies, quota caches, abuse signals.
•  Event-driven systems — Produce and consume Kafka and Kinesis events safely: schema evolution, idempotency, retries, dead-letter handling. Operate Lambda consumers where they're the right tool.
• Data services — Help own the Node.js Analytics Service and Quota Service that front ClickHouse and Snowflake. Keep latency low, queries cheap, and authorisation correct.
• Performance and reliability — Diagnose hot paths, tune queries, add caches where they matter, and remove caches that have become liabilities. Write the SLOs and the alerts that defend them.
•  Security isolation — Implement OAuth2 / JWT / mTLS where they belong; respect least-privilege; design APIs that fail closed.
• On-call and incident response — Take part in the rotation. Lead investigations across services when something rooted in your area breaks.
• LLM-assisted engineering — Use LLM-based coding and agentic tooling to evolve how features are designed, reviewed, and tested.

What Success Looks Like

•    Services you own meet their SLOs, deploy multiple times a day, and rarely wake anyone up.

•    Billing, subscription, overage, and payout flows you ship are accurate to the cent, replayable, and trusted by both providers and consumers.

•    GraphQL subgraphs you maintain stay fast, well-typed, and pleasant to extend.

•    Event pipelines you produce and consume are idempotent, observable, and survive replay and back-pressure.

•    The first generation of agent-native primitives you help build land in production and start carrying real agent traffic.

What You Bring

•    5–8 years of backend engineering experience, with non-trivial work on production services that real customers depended on.

•    Strong TypeScript / Node.js in a production service environment; comfort with async patterns, streams, and back-pressure.

•    Solid API design — REST and GraphQL (ideally federation: Apollo Federation, Mercurius, or similar). Schema design, persisted queries, performance tuning.

•    Production fluency with SQL — MySQL and/or Postgres. Bonus for Redis or ClickHouse.

•    Experience with event-driven systems — Kafka or similar. You understand idempotency, exactly-once myths, and consumer lag.

•    Hands-on AWS (EKS, MSK, Kinesis, DynamoDB, Lambda, DMS) and Kubernetes. Comfortable reading and writing Terraform.

•    Modern engineering practice: observability, feature flags, CI/CD, and safe rollouts.

•    Care for correctness on the money path — you have shipped billing, metering, or payment code before and have the scars to show for it.

•    Bonus: experience with API gateways, rate limiting, quota enforcement, usage metering, agent protocols (MCP, A2A, x402), or LLM-based developer tooling.

•    You write small, reviewable PRs. You add the test before you fix the bug. You would rather ship a smaller thing well than a bigger thing badly.

Solid product experience and an educational background from Tier‑1 universities are preferred.

As a Senior AI Engineer, you will play a key role in designing and delivering highly scalable, next generation AI products within our AI stack. You will work in a technically rich environment with talented peers, contributing to product planning, design, and execution while influencing the evolution of Teradata’s AI capabilities. 

In this role, you will: 

• Design, develop, and maintain high quality systems, services, and applications with an emphasis on scalability, reliability, and performance. 
• Collaborate with cross-functional engineers and product partners to shape design and consistently deliver end to end features. 
• Build and integrate robust RESTful APIs, ensuring security, data consistency, and maintainability. 
• Work with SQL and NoSQL databases to implement efficient data models and service access patterns. 
• Apply and experiment with AI/ML technologies, including agentic AI and large language models (LLMs). 
• Use AI powered engineering tools to improve development quality, speed, and productivity. 
• Mentor engineers, supporting them in technical planning, implementation, and best practices. 
• Identify and resolve system performance bottlenecks, optimizing code, design, and infrastructure. 
• Write unit and integration tests and participate in code reviews to uphold engineering excellence. 
• Investigate production issues, ensuring timely and effective solutions. 
• Stay current with emerging trends in engineering, AI/ML, and cloud-native technologies. 

Who You’ll Work With 

You will be part of a high-performing engineering team building core components of Teradata’s AI platform. You will collaborate closely with other engineers, AI/ML specialists, product managers, cloud architects, and partner teams across the company. The role offers opportunities to contribute directly to Teradata’s AI product roadmap and technological direction. 

What Makes You a Qualified Candidate 

(Nonnegotiable qualifications) 

• Bachelor’s degree in Computer Science or equivalent from a recognized institution. 
• 5+ years of experience in backend services, distributed systems, or data platform development. 
• Strong proficiency in Java, Go, or Python for service development. 
• Good understanding of design principles, distributed system patterns, and service framework. 
• Hands-on experience designing and developing RESTful APIs. 
• Experience with SQL and NoSQL databases and data modelling. 
• Strong debugging, problem solving, and troubleshooting skills. 
• Experience with modern containerization and orchestration tools such as Kubernetes. 
• Knowledge of public cloud platforms. 
• Experience with AI productivity tools (e.g., GitHub Copilot). 
• Ability to work independently, drive workstreams, and deliver high quality outcomes. 
• Strong communication and collaboration skills. 

What You’ll Bring 

(Preferred qualifications) 

• Familiarity with messaging systems such as Kafka. 
• Experience experimenting with or implementing AI/ML technologies, Agentic AI, or LLMs. 
• A track record of influencing design decisions and driving engineering best practices. 
• The ability to mentor engineers and guide them through design, planning, and execution. 
• A proactive mindset and comfort working in fast paced, dynamic environments. 
• Curiosity, adaptability, and a passion for building impactful AI-driven products. 

Associate Platform Engineer

Location: Bengaluru, India (Hybrid)

Employment Type: Full-time

Experience: 0.6-2 years (Excluding Intership)

Shift Timing: 2 PM to 11 PM IST

About Company

It is driving the electric mobility revolution through cutting-edge software, infrastructure, and professional services. Our technology empowers utilities, cities, fleets, transit agencies, and automakers to deploy EV charging infrastructure at scale safely, efficiently, and sustainably. With a global footprint spanning three continents and operations in 13 countries, we are passionate about shaping the future of sustainable transport.

Operating over 70,000 charge points globally, It is driving the transition toward cleaner, smarter, and more efficient mobility. The India team serves as a critical operational hub, supporting global platforms focused on decarbonization, digitalization, and scalable infrastructure growth.

At this company, we value purpose-driven individuals who want to make a meaningful impact and help create a cleaner, smarter, and more connected world.

Role Overview

It is seeking a Platform Engineer! We are excited to find a highly engaged engineer who is obsessed with technology that wants to be a part of a “world class” platform SRE team. Their engineers must possess an "automation first" mindset, with a relentless focus on documentation, quality, scalability, and reliability using Infrastructure as Code tools. This position will be part of a platform team that is developing exciting products and solutions and playing a key part in driving forward the electrification of transportation.

What you’ll do:  

• Ensure system reliability, uptime, and performance of global platform.
• Conduct real-time surveillance of our EV charging systems to proactively identify and mitigate performance issues and anomalies near 24/7 basis. As such, you collaborate with IDT and FMC players to ensure incident detection also happens outside office hours (monitoring shifts among team members subject to duty schedule) 
• Deliver on change & releases like firmware changes and drive insights & intelligence back into testing processes and tech discussions with the wider organization. 
•  Successfully deliver and project manage first time right commissioning activities alongside our Engineering Procurement Contract Management (EPCM) partners to successfully bring charge points onto our Charge Point Management System (CPMS).
• End-to-end EV charger lifecycle management, including deployment, commissioning, monitoring, maintenance, and decommissioning activities.
• Provide technical guidance and support to DC specialists during the commissioning of EV charging solutions.
•  Work closely with Shell, Engineering, and IT colleagues to ensure projects are completed on time and to specification.
• Act as a liaison with the Engineering Procurement Contract Management (EPCM) partner to manage projects from start to finish, ensuring charge points are successfully onboarded on the Charge Point Management System (CPMS).
• Collaborate with development, operations and support  teams to build scalable and resilient systems.
• Contribute to incident response, root-cause analysis, and post-mortem reviews, driving continuous improvement.
• Participate in capacity planning, performance tuning, and resource optimization.
• Integrate security and compliance best practices into all infrastructure operations.
• Stay current with emerging SRE tools, frameworks, and cloud technologies to continuously improve reliability practices.
• Participate in and lead on-call rotations and incident response, conducting detailed postmortems and RCA reports.
• Flexible to resolve blocking issues during off hours or weekends if required.  

What We’re Looking For: 

Basic Qualifications and skills

• Bachelor’s degree in Engineering , Electrical, ECE, Computer Science, Information Technology, or related field.
• Overall 1+ years of experience as a Site Reliability Engineer, DevOps/ Technical project coordinator role.
• Proven experience of DevOps, Platform Engineer, SRE or Technical Project Coordination with IoT or connected devices based platforms.
• Experience with incident management and on-call best practices. Provide support to on call engineers
• Manage and maintain AWS cloud infrastructure to ensure high availability, scalability, reliability, and performance of the EV charging platform.
• Use Terraform (Infrastructure as Code) to automate infrastructure provisioning, configuration, and environment management.
• Configure and manage load balancing to distribute traffic efficiently across platform services, improve application availability, and eliminate performance bottlenecks.
• Excellent analytical and problem-solving skills with a proactive mindset. 
• Expertise with monitoring and observability tools (Dynatrace,Prometheus, Grafana, Zabbix, etc.).
• Proactively monitor the network, triage performance outliers, and coordinate correction actions to ensure optimal system functionality.
• Fluency in English (spoken and written). 
• Successfully recommission or decommission chargers following changes in our network.
• Responsible for the go-live of the chargers on Shell’s public network following commissioning attempts.

 Note: This role involves managing infrastructure for a global platform operating in over ten countries, requiring effective communication and collaboration across regions. Strong verbal and written communication skills, along with availability and flexibility to resolve blocking issues, are essential to support On-call Engineers. This role may involve EU or US time‑zone shifts based on business requirements. The shift timing will be 2 PM IST to 11 PM IST.  

What We Offer

• Work with some of the brightest minds in the emerging EV industry.
• Make a tangible impact in reducing carbon emissions and enabling sustainable energy.
• Freedom to suggest, implement, and innovate on systems, processes, and technologies.
• Daily ownership in a high-growth, challenging environment.
• Flexible work environment with hybrid schedules and virtualization options.
• Competitive pay and benefits including health coverage, innovative PTO program, and performance bonuses.

We are looking for a hands-on Senior AWS Cloud Engineer to lead the infrastructure build, optimization, automation, and production deployment of a Multi-Agent AI Chatbot Platform hosted on AWS. The development environment is already in place, and the successful candidate will drive the solution through testing, integrations, and production go-live.

Key Responsibilities

• Review, validate, and optimize existing Terraform code and AWS infrastructure.
• Establish and manage integrations with enterprise platforms such as ServiceNow, Workday, and other third-party systems.
• Design, build, and support secure, scalable, and highly available AWS environments.
• Implement and automate CI/CD pipelines and Infrastructure-as-Code practices.
• Lead infrastructure testing, performance tuning, and production readiness activities.
• Drive deployment and operationalization of the platform in the Production environment.
• Implement cloud governance, security, monitoring, and FinOps best practices.
• Troubleshoot and resolve complex cloud infrastructure issues.

Required Skills & Experience

• 10+ years of IT experience with strong expertise in AWS Cloud Engineering.
• Proven experience designing, deploying, and managing AWS production environments.
• Strong hands-on experience with Terraform and Infrastructure-as-Code.
• Experience with CI/CD pipeline automation and DevOps practices.
• Expertise in AWS services including VPC, IAM, EC2, S3, Lambda, CloudWatch, and networking.
• Experience in performance optimization, reliability, and cloud cost management (FinOps).
• Strong scripting and automation skills.
• Experience integrating enterprise applications through APIs and secure connectivity patterns.

Preferred Skills

• Experience supporting AI/GenAI, chatbot, or multi-agent platforms.
• AWS Certifications (Associate/Professional).
• Banking or Financial Services domain experience.

Job Summary: We are seeking a highly skilled Full-stack Developer to join our dynamic team as a Delivery Module Lead. The ideal candidate will possess strong expertise in Python and front-end technologies, enabling them to design, develop, and maintain robust web applications. This role requires a proactive individual who can collaborate effectively with cross-functional teams to deliver high-quality software solutions that meet business needs.

• Proficient in Python programming language.
• Strong knowledge of front-end technologies such as HTML, CSS, and JavaScript.
• Experience with front-end frameworks like React, Angular, or Vue.js.
• Familiarity with back-end frameworks such as Django or Flask.
• Understanding of RESTful APIs and web services.
• Experience with version control systems, preferably Git.

About the Organisation

DataFlow Group is a pioneering global provider of specialized Primary Source Verification (PSV) solutions, and background screening and immigration compliance services that assist public and private organizations in mitigating risks to make informed, cost-effective decisions regarding their Applicants and Registrants.

DataFlow with its best practices in this field such as a high level of data security, cutting-edge technology, rigorous processes, qualified research analysts, and a global network of over 100,000 issuing authorities, verifies professionals credentials from the primary issuer of the document - regardless of its nature.The company complements its advanced verification processes and long-standing industry expertise by adhering to the highest regulatory standards, including the Joint Commission International (JCI), International Organization for Standardization (ISO), and the European Union’s General Data Protection Regulation (GDPR).

About the Role:

We are looking for a Backend Architect / Lead who lives and breathes code. This isn't a role for someone who wants to delegate; it’s for a technical heavyweight who wants to own core product development, define backend architecture patterns, and build scalable, secure, and resilient systems from the ground up. You will join a fast-paced environment where we ship high-quality code under tight timelines. You’ll be expected to take full ownership of our server-side ecosystem, database design, and API layer, ensuring high availability, bulletproof operational excellence, and top-tier performance.

Duties and Responsibilities:

● Architect & Build: Design and implement complex, scalable microservices and monolithic architectures using Node.js, Express.js, and MongoDB (MERN backend stack).

● Heavyweight Coding: Spend the majority of your time writing high-quality, production-ready backend code. You should be comfortable solving complex systems problems using efficient Data Structures, Algorithms, and clean architecture principles.

● Performance & Data Engineering: Own database optimization, query performance, indexing strategies, caching layers (Redis), and system throughput to ensure low-latency API response times.

● Technical Leadership: Establish and enforce industry best practices for REST/GraphQL API design, security standards, code reviews, and automated CI/CD pipelines.

● End-to-End Ownership: Participate in the full SDLC—from initial ideation and system design to deployment, infrastructure setup, and production monitoring on AWS

Qualifications:

● The Deep Diver: You have spearheaded at least one large-scale, complex backend project or system redesign. You can explain every architectural decision, trade-off, database schema choice, and line of code in a deep-dive technical discussion.

● Experience: You have at least 8 years of professional software development experience, with a significant focus on high-traffic, distributed backend systems.

● Tech Stack Mastery: Expert-level proficiency in Node.js, Express.js, MongoDB (Mongoose/Aggregation framework), and TypeScript. Strong hands-on experience with AWS (EC2, S3, ECS/Lambda, CloudWatch) and containerization (Docker).

● Architectural Fluency: A solid understanding of modern backend patterns (Microservices, Event-Driven Architecture, Pub/Sub, Caching strategies, Message Queues like RabbitMQ/Kafka, State Management, and Authentication/Authorization protocols).

● Optimization Expert: Proven experience in tuning database performance, scaling server instances, managing connection pools, and debugging memory leaks or high CPU usage under heavy load.

● Grit & Speed: You thrive in high-pressure environments and enjoy the challenge of meeting tight deadlines without compromising on quality or system reliability.

Position: Technical Architect – Data Engineering

Job Summary:

• We are looking for an experienced Technical Architect to lead the design and implementation of modern cloud-based data platforms.
• The ideal candidate should have strong expertise in Azure and/or AWS, Databricks, Snowflake, modern data architecture, and large-scale data engineering.
• The candidate will work closely with business stakeholders, architects, and engineering teams to deliver scalable, secure, and high-performance data solutions.

Key Responsibilities

• Design enterprise-scale data lakehouse and data warehouse architectures.

• Define data ingestion, transformation, and serving architecture.

• Lead architecture discussions and technical governance.

• Design scalable ETL/ELT frameworks using Databricks and Snowflake.

• Define best practices for security, performance, CI/CD, and DevOps.

• Guide engineering teams on implementation.

• Collaborate with business, product, and data governance teams.

Must Have Skills :

• Azure or AWS

• Databricks

• Snowflake

• Data Lakehouse Architecture

• PySpark

• SQL

• Data Modelling

• ETL/ELT Architecture

• Performance Optimization

• CI/CD

• Terraform or Infrastructure as Code (preferred)

Preferred

• Insurance domain

• dbt

• Unity Catalog

• Delta Lake

• Iceberg

• Azure Data Factory / AWS Glue  

AWS / Kubernetes / OpenShift / Linux – Job Description

Role: Cloud / DevOps Engineer

Experience: 4–8 Years

Location: Bangalore

Mandatory Skills: AWS, Kubernetes, OpenShift, Linux

Job Summary

Looking for a Cloud/DevOps Engineer with strong hands-on experience in AWS, Kubernetes, OpenShift, and Linux. The candidate will be responsible for managing cloud infrastructure, container platforms, deployments, monitoring, and troubleshooting.

Key Responsibilities

• Manage and support AWS cloud infrastructure and services.
• Deploy and manage applications using Kubernetes and OpenShift.
• Perform Linux administration, troubleshooting, and issue resolution.
• Monitor application and infrastructure health and resolve production issues.
• Work on containerized applications and deployments.
• Support scaling, configuration, upgrades, and maintenance of Kubernetes/OpenShift environments.
• Troubleshoot cloud, container, and Linux-related issues.
• Collaborate with development and operations teams for deployments and releases.
• Follow security, availability, and operational best practices.

Mandatory Skills

• Strong hands-on experience in AWS
• Good experience with Kubernetes
• Hands-on experience in OpenShift
• Strong Linux administration and troubleshooting skills
• Experience in cloud/container environment support
• Good production troubleshooting and incident management skills

Responsibilities:

• Architect, develop, and maintain backend components for our Risk Decisioning Platform.
• Build and orchestrate scalable backend services that automate, optimize, and monitor high-value credit and risk decisions in real time.
• Integrate with ORM layers - such as SQLAlchemy - and multi-RDBMS solutions (Postgres, MySQL, Oracle, MSSQL, etc. ) to ensure data integrity, scalability, and compliance.
• Collaborate closely with Product Team, Data Scientists, QA Teams to create extensible APIs, workflow automation, and AI governance features.
• Architect workflows for privacy, auditability, versioned traceability, and role-based access control, ensuring adherence to regulatory frameworks.
• Take ownership from requirements to deployment, seeing your code deliver real impact in the lives of customers and end users.

Requirements:

• Proficiency in Python, SQLAlchemy (or similar ORM), and SQL databases.
• Experience developing and maintaining scalable backend services, including API, data orchestration, ML workflows, and workflow automation.
• Solid understanding of data modeling, distributed systems, and backend architecture for regulated environments.
• Curiosity and drive to work at the intersection of AI/ML, fintech, and regulatory technology.
• Experience mentoring and guiding junior developers.

Technical Skills:

• Languages: Python 3.9+, SQL, JavaScript/TypeScript, Angular.
• Frameworks: Flask, SQLAlchemy, Celery, Marshmallow, Apache Spark.
• Databases: PostgreSQL, Oracle, SQL Server, Redis.
• Tools: pytest, Docker, Git, Nx.
• Cloud: Experience with AWS, Azure, or GCP preferred.
• Monitoring: Familiarity with OpenTelemetry and logging frameworks.

Jr Platform Engineer

Location: Bengaluru, India (Hybrid)

Employment Type: Full-time

Experience: 0.6-2 years

Shift Timing: 2 PM to 11 PM IST

About Company

It is driving the electric mobility revolution through cutting-edge software, infrastructure, and professional services. Our technology empowers utilities, cities, fleets, transit agencies, and automakers to deploy EV charging infrastructure at scale safely, efficiently, and sustainably. With a global footprint spanning three continents and operations in 13 countries, we are passionate about shaping the future of sustainable transport.

Operating over 70,000 charge points globally,It is driving the transition toward cleaner, smarter, and more efficient mobility. The India team serves as a critical operational hub, supporting global platforms focused on decarbonization, digitalization, and scalable infrastructure growth.

At this company, we value purpose-driven individuals who want to make a meaningful impact and help create a cleaner, smarter, and more connected world.

Role Overview

It is seeking a  TechOps Engineer! We are excited to find a highly engaged engineer who is obsessed with technology that wants to be a part of a “world class” platform SRE team. It engineers must possess an "automation first" mindset, with a relentless focus on documentation, quality, scalability, and reliability using Infrastructure as Code tools. This position will be part of a platform team that is developing exciting products and solutions and playing a key part in driving forward the electrification of transportation.

What you’ll do:  

• Ensure system reliability, uptime, and performance of global platform.
• Conduct real-time surveillance of our EV charging systems to proactively identify and mitigate performance issues and anomalies near 24/7 basis. As such, you collaborate with IDT and FMC players to ensure incident detection also happens outside office hours (monitoring shifts among team members subject to duty schedule) 
• Deliver on change & releases like firmware changes and drive insights & intelligence back into testing processes and tech discussions with the wider organization. 
•  Successfully deliver and project manage first time right commissioning activities alongside our Engineering Procurement Contract Management (EPCM) partners to successfully bring charge points onto our Charge Point Management System (CPMS).
• End-to-end EV charger lifecycle management, including deployment, commissioning, monitoring, maintenance, and decommissioning activities.
• Provide technical guidance and support to DC specialists during the commissioning of EV charging solutions.
•  Work closely with Shell, Engineering, and IT colleagues to ensure projects are completed on time and to specification.
• Act as a liaison with the Engineering Procurement Contract Management (EPCM) partner to manage projects from start to finish, ensuring charge points are successfully onboarded on the Charge Point Management System (CPMS).
• Collaborate with development, operations and support  teams to build scalable and resilient systems.
• Contribute to incident response, root-cause analysis, and post-mortem reviews, driving continuous improvement.
• Participate in capacity planning, performance tuning, and resource optimization.
• Integrate security and compliance best practices into all infrastructure operations.
• Stay current with emerging SRE tools, frameworks, and cloud technologies to continuously improve reliability practices.
• Participate in and lead on-call rotations and incident response, conducting detailed postmortems and RCA reports.
• Flexible to resolve blocking issues during off hours or weekends if required.  

What We’re Looking For: 

Basic Qualifications and skills

• Bachelor’s degree in Engineering , Electrical, ECE, Computer Science, Information Technology, or related field.
• Overall 1+ years of experience as a Site Reliability Engineer, DevOps/ Technical project coordinator role.
• Proven experience of DevOps, SRE, or Technical Project Coordination with IoT or connected devices based platforms.
• Hands-on experience with cloud platforms such as AWS and Infrastructure as Code (IaC) tools such as Terraform.  
• Experience with incident management and on-call best practices. Provide support to on call engineers.
• Excellent analytical and problem-solving skills with a proactive mindset. 
• Expertise with monitoring and observability tools (Dynatrace,Prometheus, Grafana, Zabbix, etc.).
• Proactively monitor the network, triage performance outliers, and coordinate correction actions to ensure optimal system functionality.
• Fluency in English (spoken and written). 
• Successfully recommission or decommission chargers following changes in our network.
• Responsible for the go-live of the chargers on Shell’s public network following commissioning attempts.
• 
  

 Note: This role involves managing infrastructure for a global platform operating in over ten countries, requiring effective communication and collaboration across regions. Strong verbal and written communication skills, along with availability and flexibility to resolve blocking issues, are essential to support On-call Engineers. This role may involve EU or US time‑zone shifts based on business requirements. The shift timing will be 2 PM IST to 11 PM IST.  

What We Offer

• Work with some of the brightest minds in the emerging EV industry.
• Make a tangible impact in reducing carbon emissions and enabling sustainable energy.
• Freedom to suggest, implement, and innovate on systems, processes, and technologies.
• Daily ownership in a high-growth, challenging environment.
• Flexible work environment with hybrid schedules and virtualization options.
• Competitive pay and benefits including health coverage, innovative PTO program, and performance bonuses.

We are looking for a hands-on Senior AWS Cloud Engineer to lead the infrastructure build, optimization, automation, and production deployment of a Multi-Agent AI Chatbot Platform hosted on AWS. The development environment is already in place, and the successful candidate will drive the solution through testing, integrations, and production go-live.

Key Responsibilities

• Review, validate, and optimize existing Terraform code and AWS infrastructure.
• Establish and manage integrations with enterprise platforms such as ServiceNow, Workday, and other third-party systems.
• Design, build, and support secure, scalable, and highly available AWS environments.
• Implement and automate CI/CD pipelines and Infrastructure-as-Code practices.
• Lead infrastructure testing, performance tuning, and production readiness activities.
• Drive deployment and operationalization of the platform in the Production environment.
• Implement cloud governance, security, monitoring, and FinOps best practices.
• Troubleshoot and resolve complex cloud infrastructure issues.

Required Skills & Experience

• 10+ years of IT experience with strong expertise in AWS Cloud Engineering.
• Proven experience designing, deploying, and managing AWS production environments.
• Strong hands-on experience with Terraform and Infrastructure-as-Code.
• Experience with CI/CD pipeline automation and DevOps practices.
• Expertise in AWS services including VPC, IAM, EC2, S3, Lambda, CloudWatch, and networking.
• Experience in performance optimization, reliability, and cloud cost management (FinOps).
• Strong scripting and automation skills.
• Experience integrating enterprise applications through APIs and secure connectivity patterns.

Devops + Python 

Mandatory: Python+Kubernetes Containerisation+ DevOps Exposure+ Cloud Exposure(any)

4-8 years /16 LPA

10+ years /26 LPA

Bangalore/Hyderabad

immediate to 15 days.

Looking for a Cloud Network Engineer with strong experience in AWS Networking, LAN/WAN, hybrid connectivity, routing, and troubleshooting. The candidate should have hands-on experience implementing and supporting cloud network infrastructure and resolving complex connectivity issues.

### Key Responsibilities:


- Design, implement, and troubleshoot AWS networking environments.

- Configure VPC/VNet, subnets, route tables, NSG/Security Groups, NACLs, peering, and private endpoints.

- Work on VPN, ExpressRoute, Direct Connect, Transit Gateway, and hybrid connectivity.

- Configure and troubleshoot DNS, Load Balancers, NAT, routing, and network security.

- Troubleshoot LAN/WAN, routing, connectivity, latency, DNS, and packet-flow issues.

- Work with BGP, static routing, NAT, MTU, and high-availability concepts.

- Support cloud migration activities, connectivity validation, and cutover requirements.

- Coordinate with Firewall, Security, Cloud, Application, and Infrastructure teams.

- Prepare network documentation, implementation plans, diagrams, and troubleshooting reports.

- Exposure to Terraform/IaC for cloud network deployment is an advantage.

### Mandatory Skills:


- AWS Cloud Networking

- LAN/WAN & Network Troubleshooting

- Routing & Switching

- VPC/VNet, Subnets, Route Tables

- VPN / Hybrid Connectivity

- DNS & Load Balancing

- BGP / TCP-IP / NAT

- Good communication and stakeholder coordination skills.

Technical Skills -

• 4–6 years of experience in Golang development, backend engineering, or automation testing. 
• Strong hands-on proficiency in Golang and backend development concepts. 
• Hands-on experience with Kubernetes and containerized environments. 
• Experience developing automation frameworks, unit tests, integration tests, and API validation tools using Go. 
• Strong understanding of distributed systems, system design, and cloud-native architecture. 
• Experience in validating backend services, REST/gRPC APIs, and Kubernetes-based platforms. 
• Familiarity with Docker, CI/CD pipelines, Jenkins, and GitHub Actions. 
• Knowledge of cloud-native observability tools such as Prometheus and Grafana. 
• Strong debugging, analytical, and problem-solving skills. 
• Ability to contribute to backend development, reliability improvements, and performance validation. 

Key Responsibilities -

• Develop automation frameworks, unit tests, integration tests, and validation tools using Golang. 
• Validate backend services, distributed systems, REST/gRPC APIs, and Kubernetes-based platforms. 
• Contribute to backend development, debugging, reliability improvements, and performance validation. 
• Work with cloud-native technologies such as Kubernetes, Docker, Prometheus, and Grafana. 
• Automate workflows and testing through CI/CD pipelines using Jenkins/GitHub Actions. 
• Collaborate with engineering teams to improve system quality, observability, and test coverage. 

Good to Have -

• Experience with infrastructure platforms or storage systems. 
• Exposure to AWS, Azure, or GCP. 
• Experience with performance, load, or resiliency testing. 
• Familiarity with Ginkgo, Gomega, or similar Go testing frameworks. 

Role: Forward Deployment Engineer (FDE)

Company: Comprinno (NASSCOM-incubated, AWS Advanced Consulting Partner)

Experience: 5 to 8 years

About the Role:

Comprinno is hiring a Forward Deployment Engineer to work directly with customers, identify business challenges, and turn them into working AI solutions on AWS. This is a customer-facing role that blends consulting, solution architecture, and hands-on AI engineering.

Key Responsibilities:

• Run discovery workshops with customer stakeholders and translate business problems into technical solutions.
• Design AI and cloud solutions using patterns such as RAG, AI agents, and workflow automation.
• Build POCs, prototypes, and MVPs on AWS (Bedrock, Lambda, S3, API Gateway, DynamoDB, OpenSearch, ECS/EKS) and support the move to production.
• Develop GenAI and agentic solutions, including prompt strategies, evaluation frameworks, and retrieval pipelines.
• Demo solutions, train customer teams, and drive adoption.
• Document architectures and contribute reusable accelerators. Support presales and proposals.

Must-Have Skills:

• 5 to 8 years in solution engineering, technical consulting, presales, product engineering, or similar customer-facing technical roles.
• Hands-on experience building applications, integrations, or prototypes on AWS.
• Strong grasp of LLMs, RAG, prompt engineering, AI agents, and knowledge retrieval.
• Experience with one or more of Amazon Bedrock, OpenAI, Anthropic, LangChain, LangGraph, or CrewAI.
• Experience delivering customer-facing POCs and running requirements or discovery sessions.
• Strong communication and stakeholder management skills, and comfort with ambiguity.
• Willingness to travel or be deputed to customer sites across India and internationally.

Good to Have:

• AWS Solutions Architect certification (Associate or Professional).
• Multi-agent systems, MCP, and AI observability or evaluation tools.
• Vector databases (OpenSearch, Pinecone, Weaviate, Chroma).
• DevOps and CI/CD exposure.
• Startup, consulting, or SaaS product experience.

Why Join Comprinno:

• Work at the forefront of GenAI, Agentic AI, and AWS.
• High ownership, with solutions going from idea to production in weeks.
• Exposure to diverse industries and to Comprinno's SaaS platform, Tevico.

About Comprinno:

Comprinno is a leading AWS consulting partner specializing in Cloud Transformation, DevOps, Managed Services, Data Analytics, Security, and AI. We help startups and enterprises build scalable, secure, and high-performing cloud environments on AWS.

Learn more about us at: comprinno.net

🚀 Hiring – Senior Full Stack Engineer | Java / Node.js / AWS 🚀

We are looking for an experienced Senior Full Stack Engineer with strong hands-on expertise in Java, Node.js, Frontend technologies and AWS Cloud.

🔹 Experience: 8+ Years

🔑 Mandatory Skills

✅ Java / Spring Boot

✅ Node.js – Backend

✅ REST APIs

✅ Microservices / SOA

✅ React / Angular / Vue.js

✅ AWS Cloud & Architecture

✅ AWS CDK – Must Have

✅ CloudFormation

✅ AWS Lambda

✅ Docker / Containerization

✅ CI/CD

✅ MongoDB

📌 Key Responsibilities

Design and develop scalable applications using Java, Spring Boot and Node.js.

Build and integrate REST APIs and microservices.

Develop responsive frontend applications using React, Angular or Vue.js.

Design and deploy cloud-native solutions on AWS.

Work with AWS CDK, CloudFormation, Lambda, ECS/EKS and API Gateway.

Build and manage Docker containers and integrate applications with CI/CD pipelines.

Work with MongoDB and event-driven architectures.

Support cloud migration from on-premise/PaaS applications to AWS.

Drive performance, reliability, security and cost optimization.

Participate in code reviews, TDD/BDD, Agile development and continuous improvement.

Provide production troubleshooting and participate in 24/7 on-call support rotation.

#Hiring #Java #SpringBoot #NodeJS #FullStackDeveloper #Microservices #ReactJS #Angular #AWS #AWSCDK #CloudFormation #Lambda #Docker #CICD #MongoDB #BangaloreJobs #HyderabadJobs #ITJobs

At Shipthis, we are building a better future for freight forwarders by evolving traditional operations into fully digital, efficient, and scalable systems. We’re a fast-growing product company where every individual has the opportunity to take ownership, move fast, and create real impact. If you enjoy solving complex problems, shaping products from the ground up, and influencing technical direction, Shipthis is the place for you.

Learn more at www.shipthis.co

Role Overview

We are looking for an associate-level SecOps Engineer to support security operations, compliance, endpoint management, cloud infrastructure, and DevOps engineering. The role will work closely with the CTO/CISO and engineering team. Security and compliance are core responsibilities; when those priorities are lighter, the engineer will focus on CI/CD, infrastructure automation, reliability, monitoring, performance, and cloud cost optimization.

What You’ll be Doing

Security Operations

• Monitor infrastructure, application, and security alerts and assist with incident investigation.
• Review access controls, privileged accounts, service accounts, permissions, and periodic access reviews.
• Support infrastructure hardening, logging, monitoring, backup, recovery, and other security controls.
• Track security issues and corrective actions through closure.

Vulnerability Management

• Run and review application and infrastructure vulnerability scans.
• Maintain a vulnerability register and coordinate remediation with engineering teams.
• Support VAPT and penetration-testing exercises and validate closure of findings.
• Monitor dependencies, containers, operating systems, and cloud infrastructure for known vulnerabilities and patching needs.

Compliance & Governance

• Support ongoing ISO/IEC 27001, SOC 2, GDPR, customer-security, and internal-policy requirements.
• Maintain audit evidence, control registers, security policies, procedures, risk items, and remediation records.
• Assist with internal/external audits, vendor assessments, customer security questionnaires, and asset inventories.
• Maintain evidence for access reviews, vulnerability management, incidents, onboarding/offboarding, backups, and infrastructure changes.

MDM & Endpoint Security

• Administer the company MDM platform and enroll/manage company laptops, desktops, and mobile devices.
• Maintain device inventory and monitor endpoint compliance.
• Enforce approved controls such as disk encryption, screen locks, password requirements, patching, and endpoint protection.
• Support employee device onboarding/offboarding, approved application deployment, lost/stolen-device procedures, and remote wipe where authorized.
• Maintain endpoint security and MDM evidence required for audits and troubleshoot enrollment or policy issues.

DevOps, CI/CD & Cloud

• Maintain and improve CI/CD pipelines, deployment workflows, build times, caching, and rollback processes.
• Support production and non-production cloud infrastructure, networking, DNS, TLS certificates, IAM, and secrets.
• Automate repetitive deployment, infrastructure, security, and compliance tasks.
• Improve monitoring, logging, alerting, reliability, resource utilization, and cloud costs.
• Troubleshoot pipeline, deployment, and infrastructure issues and participate in root-cause analysis.

Required Fundamentals

• Basic knowledge of Linux, networking, HTTP/HTTPS, DNS, TLS, Git, Docker, cloud computing, APIs, and web applications.
• Understanding of IAM, MFA, least privilege, vulnerabilities/CVEs, encryption, logging, patching, and secrets management.
• Strong troubleshooting, ownership, attention to detail, and willingness to learn.

Desired Qualifications

• 1–2 years of experience with strong fundamentals are welcome.
• Basic scripting knowledge in Python, Bash, or similar.
• Interest in cybersecurity, cloud infrastructure, automation, and troubleshooting.
• Exposure to AWS/GCP/Azure, Terraform, GitHub Actions, Cloudflare, OWASP, vulnerability scanners, MDM, ISO 27001, or SOC 2 is a plus, not mandatory.

We Welcome Candidates:

• Who can join immediately
• Female candidates returning to work after a career break are strongly encouraged.

We are an equal opportunity employer and are committed to fostering diversity and inclusivity. We do not discriminate based on race, religion, color, gender, sexual orientation, age, marital status, or disability status.

Job Synopsys

Location: Bangalore

Job Type: Full-time, Permanent

Experience: 1-2 years

Industry: Software Product

🚀 Hiring – AWS / Kubernetes / OpenShift Engineer

📍 Location: Bangalore

💼 Experience: 7–10 Years

⚡ Joining: Immediate Joiners Only

🔑 Required Skills

• Strong hands-on experience in AWS
• Expertise in Kubernetes & OpenShift
• Strong Linux Administration & Troubleshooting
• Experience in containerized environments and platform operations
• Production support, monitoring and incident troubleshooting
• Good understanding of cloud and infrastructure technologies

📌 Interview Process

2nd Round – Face-to-Face Interview in Bangalore

👉 Please share profiles of candidates who are available for a F2F interview in Bangalore.

#Hiring #AWS #Kubernetes #OpenShift #Linux #CloudEngineer #PlatformEngineer #DevOps #BangaloreJobs #ImmediateJoiners #WFO #ITJobs

Job Summary:

We are looking for an experienced Cloud / DevOps Engineer with strong hands-on experience in AWS, Kubernetes, OpenShift, and Linux. The candidate will be responsible for managing cloud infrastructure, containerized applications, deployments, and production environments.

Roles & Responsibilities:

• Design, deploy, and manage cloud infrastructure on AWS.
• Manage and administer Kubernetes and OpenShift environments.
• Deploy, configure, and troubleshoot containerized applications.
• Perform Linux administration, troubleshooting, and system monitoring.
• Monitor application and infrastructure performance and resolve production issues.
• Automate deployment and operational activities wherever possible.
• Work with development and operations teams to support application deployments.
• Ensure system availability, reliability, and security.
• Troubleshoot issues related to Kubernetes clusters, containers, networking, and Linux systems.
• Follow DevOps best practices for CI/CD, infrastructure management, and automation.

Required Skills:

• 7–10 years of relevant experience in Cloud/DevOps.
• Strong hands-on experience with AWS.
• Good knowledge of Kubernetes and OpenShift.
• Strong Linux administration and troubleshooting skills.
• Experience in containerization and deployment of applications.
• Good understanding of cloud infrastructure and production support.

Senior Data Engineer – PySpark & Oracle

Experience: 7+ Years

Location: Bangalore

Notice Period: Immediate to 10 Days

Key Skills:

• Strong expertise in Data Modeling, Data Design & Modernization
• Primary skills: PySpark, Oracle SQL/PLSQL
• Secondary skills: Python, ETL & Data Pipelines
• Experience with Kafka and Hadoop
• Exposure to AWS / Azure / GCP
• Good knowledge of Git and JIRA

Roles & Responsibilities:

• Design, develop, and modernize scalable data models and data architecture.
• Develop and optimize data processing solutions using PySpark and Oracle SQL/PLSQL.
• Build and maintain robust ETL workflows and data pipelines.
• Work with Kafka, Hadoop, and cloud platforms for data processing and integration.
• Perform data transformation, optimization, and performance tuning.
• Collaborate with technical teams on data design, development, testing, and deployment.

Job Summary:

We are looking for a Senior Full Stack Engineer with 8+ years of experience in designing, developing, and maintaining scalable web applications. The candidate should have strong experience in Java, Node.js, AWS, React, and Angular, with the ability to work across both frontend and backend technologies.

Roles & Responsibilities:

• Design, develop, and maintain scalable full-stack applications.
• Develop backend services and APIs using Java and Node.js.
• Build responsive and user-friendly web applications using React and Angular.
• Design and integrate RESTful APIs and backend services.
• Deploy, manage, and troubleshoot applications on AWS cloud services.
• Work with databases and ensure efficient data management.
• Collaborate with product, QA, and other engineering teams.
• Perform code reviews and ensure coding standards and best practices.
• Troubleshoot production issues and provide effective solutions.
• Participate in Agile development, sprint planning, and technical discussions.
• Contribute to application performance, scalability, security, and reliability.

Mandatory Skills:

• 8+ years of experience in software/full-stack development.
• Strong hands-on experience in Java and Node.js.
• Strong experience in React and Angular.
• Good hands-on experience with AWS.
• Experience in developing and integrating REST APIs.
• Strong understanding of full-stack application development.
• Good problem-solving and communication skills.

 The Role 

As a **DevOps Engineer** you'll own the infrastructure and delivery backbone that 

keeps our platform running as we grow. You'll build the CI/CD, cloud infrastructure, and 

observability that let a small, fast-moving team ship confidently — and you'll keep our AI and 

data workloads reliable and affordable at scale. 

This is a hands-on role with real ownership: you won't be maintaining someone else's setup, 

you'll be shaping ours. You'll work closely with the backend, AI/ML, and data teams to make 

deployment boring, incidents rare, and scaling a non-event. --- 

What You'll Own 

**CI/CD & developer experience** 

- Build and maintain fast, reliable CI/CD pipelines so engineers ship multiple times a day with 

confidence. - Make the path from commit to production simple, safe, and repeatable, with sensible 

automated testing, rollbacks, and release controls. 

**Cloud infrastructure & IaC** - Own our cloud infrastructure (AWS/GCP) end to end, managed as code (Terraform or 

similar) — no click-ops. - Design for scale and cost-efficiency as store and conversation volumes grow. 

**Containers & orchestration** - Run our services on containers/Kubernetes: deployments, autoscaling, networking, and 

resource management. - Support the specific needs of AI/ML workloads, including GPU-backed inference and batch 

processing for the speech pipeline. 

**Reliability & observability (SRE)** - Own uptime, performance, and incident response — monitoring, logging, tracing, alerting, 

on-call, and blameless postmortems. - Define and defend SLOs; keep the platform dependable as it scales across clients. 

**Data & pipeline infrastructure** - Support the infrastructure behind large-scale, edge-to-cloud data movement and 

processing (audio ingestion, ASR/AI pipelines, analytics). - Keep data workloads reliable, performant, and cost-aware. 

**Security & compliance** - Bake security into the platform: secrets management, IAM/least-privilege, encryption in 

transit and at rest, network hardening, and vulnerability management. - Support compliance readiness (including India's DPDP Act and enterprise-client security 

requirements) for a product that handles sensitive customer conversations. 

**Cost & scale** - Own cloud cost visibility and optimization; make scaling decisions that balance reliability 

and spend. --- 

What You'll Bring - 6+ years in DevOps, SRE, platform, or infrastructure engineering, running production 

systems at meaningful scale. - Strong hands-on experience with a major cloud provider (**AWS or Azure or GCP**) and 

Infrastructure-as-Code (**Terraform** or equivalent). - Solid experience with **containers and Kubernetes** in production. - Experience building and owning **CI/CD** pipelines (e.g. GitHub Actions, GitLab CI, 

Jenkins, Argo, or similar). 

- Comfort with a scripting/automation language (Python, Go, or Bash) and a strong 

automation-first mindset. - Real experience with **observability** (Prometheus/Grafana, ELK, Datadog, 

OpenTelemetry, or similar) and running incident response / on-call. - A security-conscious approach — secrets, IAM, encryption, and least-privilege as defaults. - Startup temperament: ownership, pragmatism, and a bias to automate and ship. - Based in or willing to relocate to Bangalore, and up for an onsite/hybrid, in-person team. 

Bonus Points - Experience running **ML/AI or GPU workloads** in production (inference serving, batch 

pipelines, model deployment). - Experience with data-intensive infrastructure — streaming/queues (Kafka, SQS), data 

pipelines, or large object/audio storage. - Exposure to **edge devices / IoT fleets**, OTA updates, or high-volume device-to-cloud 

ingestion. - Experience with compliance/security frameworks (SOC 2, ISO 27001, DPDP). - FinOps / cloud cost-optimization experience. - Early-stage startup experience. --- 

Why Join - Own infrastructure that's already live with leading retail brands and growing fast — real 

scale, real impact. - Work across genuinely interesting workloads: speech AI, GPU inference, large-scale data, 

and edge-to-cloud ingestion. - Small team, high ownership, direct line to engineering leadership — your decisions ship. - Build the platform foundation of a category-defining product from an

We are seeking a highly skilled Senior DevOps Engineer with 8+ years of professional experience to join our team. In this role, you will design, implement, and optimize cloud infrastructure and CI/CD processes.

You will collaborate closely with development, QA, and operations teams to deliver scalable, secure, automated, and reliable solutions on AWS.

The ideal candidate will have strong hands-on experience with AWS, Terraform, Git/GitHub, Jenkins, PowerShell, Python, AWS Systems Manager (SSM) Documents, and Active Directory (AD) administration, along with a passion for automation, efficiency, and operational excellence.

Key Responsibilities

• Design, build, and maintain scalable cloud infrastructure on AWS.
• Develop and manage Infrastructure as Code (IaC) using Terraform.
• Build, maintain, and optimize CI/CD pipelines using Jenkins and GitHub.
• Use AWS Systems Manager (SSM) to support operational automation and system administration.
• Automate system tasks and administrative workflows using PowerShell and other scripting languages.
• Create, maintain, and execute custom SSM Documents for configuration management, patching, automation, and troubleshooting.
• Manage and administer Active Directory (AD), including users, groups, permissions, policies, authentication, and integration with AWS services.
• Implement and manage version-control workflows in Git and GitHub.
• Ensure infrastructure and deployment processes follow best practices for security, reliability, scalability, and cost optimization.
• Monitor and troubleshoot production systems to ensure high availability, performance, and reliability.
• Collaborate with development teams to improve software delivery processes and release management.
• Mentor junior engineers and contribute to the development of DevOps standards and best practices.

Required Skills and Experience

• 8+ years of professional experience, including at least 4 years in DevOps or Site Reliability Engineering (SRE) roles.
• Strong hands-on experience with AWS services, including EC2, VPC, IAM, S3, EKS, Lambda, and related services.
• Proven expertise in Terraform for Infrastructure as Code.
• Experience administering both Linux and Windows operating systems.
• Experience designing and managing CI/CD pipelines using Jenkins and GitHub.
• Proficiency with Git workflows and source-code management best practices.
• Strong PowerShell scripting skills; familiarity with Python and/or Bash is a plus.
• Experience with AWS Systems Manager (SSM), including creating and managing SSM Documents.
• Hands-on experience managing Active Directory, including users, groups, policies, authentication, permissions, and AWS integration.
• Solid understanding of cloud networking, security, monitoring, and troubleshooting.
• Excellent problem-solving, communication, collaboration, and decision-making skills.

Nice-to-Have Skills

• Experience with containerization and orchestration technologies, such as Docker, Kubernetes, and Amazon EKS.
• Knowledge of monitoring and observability tools, such as Amazon CloudWatch, New Relic, and Sumo Logic.
• An AWS certification, such as AWS Certified DevOps Engineer – Professional or AWS Certified Solutions Architect.

Who You Are

• You are eager to learn new technologies and continuously improve your skills.
• You make sound decisions and take ownership of your work.
• You are proactive, self-motivated, and comfortable taking initiative.
• You are a strong communicator who enjoys collaborating with cross-functional teams.
• You are committed to improving processes, automation, reliability, and operational efficiency.