50+ AWS (Amazon Web Services) Jobs in India

Title – Principal Cloud Architect

Company Summary :

As the recognized global standard for project-based businesses, Deltek delivers software and information solutions to help organizations achieve their purpose. Our market leadership stems from the work of our diverse employees who are united by a passion for learning, growing and making a difference. At Deltek, we take immense pride in creating a balanced, values-driven environment, where every employee feels included and empowered to do their best work. Our employees put our core values into action daily, creating a one-of-a-kind culture that has been recognized globally. Thanks to our incredible team, Deltek has been named one of America's Best Midsize Employers by Forbes, a Best Place to Work by Glassdoor, a Top Workplace by The Washington Post and a Best Place to Work in Asia by World HRD Congress. www.deltek.com

Business Summary :

The Deltek Global Cloud team focuses on the delivery of first-class services and solutions for our customers. We are an innovative and dynamic team that is passionate about transforming the Deltek cloud services that power our customers' project success. Our diverse, global team works cross-functionally to make an impact on the business. If you want to work in a transformational environment, where education and training are encouraged, consider Deltek as the next step in your career!

External Job Title :

Principal Cloud Cost Optimization Engineer

Position Responsibilities :

The Cloud Cost Optimization Engineer plays a key role in supporting the full lifecycle of cloud financial management (FinOps) at Deltek—driving visibility, accountability, and efficiency across our cloud investments. This role is responsible for managing cloud spend, forecasting, and identifying optimization opportunities that support Deltek's cloud expansion and financial performance goals.

We are seeking a candidate with hands-on experience in Cloud FinOps practices, software development capabilities, AI/automation expertise, strong analytical skills, and a passion for driving financial insights that enable smarter business decisions. The ideal candidate is a self-starter with excellent cross-team collaboration abilities and a proven track record of delivering results in a fast-paced environment.

Key Responsibilities:

• Prepare and deliver monthly reports and presentations on cloud spend performance versus plan and forecast for Finance, IT, and business leaders.
• Support the evaluation, implementation, and ongoing management of cloud consumption and financial management tools.
• Apply financial and vendor management principles to support contract optimization, cost modeling, and spend management.
• Clearly communicate technical and financial insights, presenting complex topics in a simple, actionable manner to both technical and non-technical audiences.
• Partner with engineering, product, and infrastructure teams to identify cost drivers, promote best practices for efficient cloud consumption, and implement savings opportunities.
• Lead cost optimization initiatives, including analyzing and recommending savings plans, reserved instances, and right-sizing opportunities across AWS, Azure, and OCI.
• Collaborate with the Cloud Governance team to ensure effective tagging strategies and alerting frameworks are deployed and maintained at scale.
• Support forecasting by partnering with infrastructure and engineering teams to understand demand plans and proactively manage capacity and spend.
• Build and maintain financial models and forecasting tools that provide actionable insights into current and future cloud expenditures.
• Develop and maintain automated FinOps solutions using Python, SQL, and cloud-native services (Lambda, Azure Functions) to streamline cost analysis, anomaly detection, and reporting workflows.
• Design and implement AI-powered cost optimization tools leveraging GenAI APIs (OpenAI, Claude, Bedrock) to automate spend analysis, generate natural language insights, and provide intelligent recommendations to stakeholders.
• Build custom integrations and data pipelines connecting cloud billing APIs, FinOps platforms, and internal systems to enable real-time cost visibility and automated alerting.
• Develop and sustain relationships with internal stakeholders, onboarding them to FinOps tools, processes, and continuous cost optimization practices.
• Create and maintain KPIs, scorecards, and financial dashboards to monitor cloud spend and optimization progress.
• Drive a culture of optimization by translating financial insights into actionable engineering recommendations, promoting cost-conscious architecture, and leveraging automation for resource optimization.
• Use FinOps tools and services to analyze cloud usage patterns and provide technical cost-saving recommendations to application teams.
• Develop self-service FinOps portals and chatbots using GenAI to enable teams to query cost data, receive optimization recommendations, and understand cloud spending through natural language interfaces.
• Leverage Generative AI tools to enhance FinOps automation, streamline reporting, and improve team productivity across forecasting, optimization, and anomaly detection.

Qualifications :

• Bachelor's degree in Finance, Computer Science, Information Systems, or a related field.
• 4+ years of professional experience in Cloud FinOps, IT Financial Management, or Cloud Cost Governance within an IT organization.
• 6-8 years of overall experience in Cloud Infrastructure Management, DevOps, Software Development, or related technical roles with hands-on cloud platform expertise
• Hands-on experience with native cloud cost management tools (e.g., AWS Cost Explorer, Azure Cost Management, OCI Cost Analysis) and/or third-party FinOps platforms (e.g., Cloudability, CloudHealth, Apptio).
• Proven experience working within the FinOps domain in a large enterprise environment.
• Strong background in building and managing custom reports, dashboards, and financial insights.
• Deep understanding of cloud financial management practices, including chargeback/showback models, cost savings and avoidance tracking, variance analysis, and financial forecasting.
• Solid knowledge of cloud provider pricing models, billing structures, and optimization strategies.
• Practical experience with cloud optimization and governance practices such as anomaly detection, capacity planning, rightsizing, tagging strategies, and storage lifecycle policies.
• Skilled in leveraging automation to drive operational efficiency in cloud cost management processes.
• Strong analytical and data storytelling skills, with the ability to collect, interpret, and present complex financial and technical data to diverse audiences.
• Experience developing KPIs, scorecards, and metrics aligned with business goals and industry benchmarks.
• Ability to influence and drive change management initiatives that increase adoption and maturity of FinOps practices.
• Highly results-driven, detail-oriented, and goal-focused, with a passion for continuous improvement.
• Strong communicator and collaborative team player with a passion for mentoring and educating others.
• Strong proficiency in Python and SQL for data analysis, automation, and tool development, with demonstrated experience building production-grade scripts and applications.
• Hands-on development experience building automation solutions, APIs, or internal tools for cloud management or financial operations.
• Practical experience with GenAI technologies including prompt engineering, and integrating LLM APIs (OpenAI, Claude, Bedrock) into business workflows.
• Experience with Infrastructure as Code (Terraform etc.) and CI/CD pipelines for deploying FinOps automation and tooling.
• Familiarity with data visualization libraries (e.g. PowerBI ) and building interactive dashboards programmatically.
• Knowledge of ML/AI frameworks is a plus.
• Experience building chatbots or conversational AI interfaces for internal tooling is a plus.
• FinOps Certified Practitioner.
• AWS, Azure, or OCI cloud certifications are preferred.

Review Criteria

• Strong Senior/Lead DevOps Engineer Profile
• 8+ years of hands-on experience in DevOps engineering, with a strong focus on AWS cloud infrastructure and services (EC2, VPC, EKS, RDS, Lambda, CloudFront, etc.).
• Must have strong system administration expertise (installation, tuning, troubleshooting, security hardening)
• Solid experience in CI/CD pipeline setup and automation using tools such as Jenkins, GitHub Actions, or similar
• Hands-on experience with Infrastructure as Code (IaC) tools such as Terraform, CloudFormation, or Ansible
• Must have strong database expertise across MongoDB and Snowflake (administration, performance optimization, integrations)
• Experience with monitoring and observability tools such as Prometheus, Grafana, ELK, CloudWatch, or Datadog
• Good exposure to containerization and orchestration using Docker and Kubernetes (EKS)
• Must be currently working in an AWS-based environment (AWS experience must be in the current organization)
• Its an IC role

Preferred

• Must be proficient in scripting languages (Bash, Python) for automation and operational tasks.
• Must have strong understanding of security best practices, IAM, WAF, and GuardDuty configurations.
• Exposure to DevSecOps and end-to-end automation of deployments, provisioning, and monitoring.
• Bachelor’s or Master’s degree in Computer Science, Information Technology, or related field.

Job Specific Criteria

• CV Attachment is mandatory
• Are you okay to come F2F for HM Interview round?
• Reason for Change?
• Provide CTC Breakup?
• Please provide Career Summary / Skills?
• How many years of experience you have in AWS?

Role & Responsibilities

We are seeking a highly skilled Senior DevOps Engineer with 8+ years of hands-on experience in designing, automating, and optimizing cloud-native solutions on AWS. AWS and Linux expertise are mandatory. The ideal candidate will have strong experience across databases, automation, CI/CD, containers, and observability, with the ability to build and scale secure, reliable cloud environments.

Key Responsibilities:

Cloud & Infrastructure as Code (IaC)-

• Architect and manage AWS environments ensuring scalability, security, and high availability.
• Implement infrastructure automation using Terraform, CloudFormation, and Ansible.
• Configure VPC Peering, Transit Gateway, and PrivateLink/Connect for advanced networking.

CI/CD & Automation:

• Build and maintain CI/CD pipelines (Jenkins, GitHub, SonarQube, automated testing).
• Automate deployments, provisioning, and monitoring across environments.

Containers & Orchestration:

• Deploy and operate workloads on Docker and Kubernetes (EKS).
• Implement IAM Roles for Service Accounts (IRSA) for secure pod-level access.
• Optimize performance of containerized and microservices applications.

Monitoring & Reliability:

• Implement observability with Prometheus, Grafana, ELK, CloudWatch, M/Monit, and Datadog.
• Establish logging, alerting, and proactive monitoring for high availability.

Security & Compliance:

• Apply AWS security best practices including IAM, IRSA, SSO, and role-based access control.
• Manage WAF, Guard Duty, Inspector, and other AWS-native security tools.
• Configure VPNs, firewalls, and secure access policies and AWS organizations.

Databases & Analytics:

• Must have expertise in MongoDB, Snowflake, Aerospike, RDS, PostgreSQL, MySQL/MariaDB, and other RDBMS.
• Manage data reliability, performance tuning, and cloud-native integrations.
• Experience with Apache Airflow and Spark.

Ideal Candidate

• 8+ years in DevOps engineering, with strong AWS Cloud expertise (EC2, VPC, TG, RDS, S3, IAM, EKS, EMR, SCP, MWAA, Lambda, CloudFront, SNS, SES etc.).
• Linux expertise is mandatory (system administration, tuning, troubleshooting, CIS hardening etc).
• Strong knowledge of databases: MongoDB, Snowflake, Aerospike, RDS, PostgreSQL, MySQL/MariaDB, and other RDBMS.
• Hands-on with Docker, Kubernetes (EKS), Terraform, CloudFormation, Ansible.
• Proven ability with CI/CD pipeline automation and DevSecOps practices.
• Practical experience with VPC Peering, Transit Gateway, WAF, Guard Duty, Inspector and advanced AWS networking and security tools.
• Expertise in observability tools: Prometheus, Grafana, ELK, CloudWatch, M/Monit, and Datadog.
• Strong scripting skills (Shell/bash, Python, or similar) for automation.
• Bachelor / Master’s degree
• Effective communication skills

Senior Python Django Developer 

Experience: Back-end development: 6 years (Required)

Location:  Bangalore/ Bhopal

Job Description:

We are looking for a highly skilled Senior Python Django Developer with extensive experience in building and scaling financial or payments-based applications. The ideal candidate has a deep understanding of system design, architecture patterns, and testing best practices, along with a strong grasp of the startup environment.

This role requires a balance of hands-on coding, architectural design, and collaboration across teams to deliver robust and scalable financial products.

Responsibilities:

• Design and develop scalable, secure, and high-performance applications using Python (Django framework).
• Architect system components, define database schemas, and optimize backend services for speed and efficiency.
• Lead and implement design patterns and software architecture best practices.
• Ensure code quality through comprehensive unit testing, integration testing, and participation in code reviews.
• Collaborate closely with Product, DevOps, QA, and Frontend teams to build seamless end-to-end solutions.
• Drive performance improvements, monitor system health, and troubleshoot production issues.
• Apply domain knowledge in payments and finance, including transaction processing, reconciliation, settlements, wallets, UPI, etc.
• Contribute to technical decision-making and mentor junior developers.

Requirements:

• 6 to 10 years of professional backend development experience with Python and Django.
• Strong background in payments/financial systems or FinTech applications.
• Proven experience in designing software architecture in a microservices or modular monolith environment.
• Experience working in fast-paced startup environments with agile practices.
• Proficiency in RESTful APIs, SQL (PostgreSQL/MySQL), NoSQL (MongoDB/Redis).
• Solid understanding of Docker, CI/CD pipelines, and cloud platforms (AWS/GCP/Azure).
• Hands-on experience with test-driven development (TDD) and frameworks like pytest, unittest, or factory_boy.
• Familiarity with security best practices in financial applications (PCI compliance, data encryption, etc.).

Preferred Skills:

• Exposure to event-driven architecture (Celery, Kafka, RabbitMQ).
• Experience integrating with third-party payment gateways, banking APIs, or financial instruments.
• Understanding of DevOps and monitoring tools (Prometheus, ELK, Grafana).
• Contributions to open-source or personal finance-related projects.

Job Types: Full-time, Permanent

Schedule:

• Day shift

Supplemental Pay:

• Performance bonus
• Yearly bonus

Ability to commute/relocate:

• JP Nagar, 5th Phase, Bangalore, Karnataka or Indrapuri, Bhopal, Madhya Pradesh: Reliably commute or willing to relocate with an employer-provided relocation package (Preferred)

Read less

About The Role

We are seeking a Full Stack Cloud Engineer with strong hands-on experience in Python (FastAPI), React.js, and AWS Serverless architecture to lead and contribute to the design and development of scalable, modern web applications. The ideal candidate will bring both technical depth and leadership skills, mentoring a small team of developers while remaining actively involved in coding, architectural decisions, and deployment.

You will play a key role in building and optimizing cloud-native, serverless applications using AWS services, integrating front-end and back-end components, and ensuring reliability, scalability, and performance.

Responsibilities

Technical Leadership

• Lead and mentor a small team of engineers, ensuring adherence to coding standards and best practices.
• Drive architectural and design decisions aligned with scalability, performance, and maintainability.
• Conduct code reviews, guide junior developers, and foster a collaborative engineering culture.

Backend Development

• Design, build, and maintain RESTful APIs using FastAPI or Flask.
• Develop and deploy serverless microservices on AWS Lambda using AWS SAM.
• Work with relational databases (PostgreSQL/MySQL) and optimize SQL queries.
• Manage asynchronous task queues with Celery and Redis/SQS.

Frontend Development

• Build and maintain responsive, scalable front-end applications using React.js.
• Implement reusable components using Redux, Hooks, and TypeScript.
• Integrate APIs and optimize front-end performance, accessibility, and security.

AWS Cloud & DevOps

• Architect and deploy applications using AWS SAM, Lambda, Glue, Cognito, AppSync, and Amplify.
• Good-to-have) Experience designing and consuming GraphQL APIs via AWS AppSync.
• Implement CI/CD pipelines and manage deployments via Amplify, CodePipeline, or equivalent.
• Ensure proper authentication, authorization, and identity management with Cognito.
• Use Gitlabs/Devops, Docker and AWS ECS/EKS for containerized deployments where required.

Preferred Skills

• Experience with GraphQL (AppSync) and data integrations.
• Exposure to container orchestration (ECS/EKS).
• AWS Certification (e.g., AWS Developer or Architect Associate) is a plus.

Soft Skills

• Strong communication and leadership abilities.
• Ability to mentor and motivate team members.
• Problem-solving mindset with attention to detail and scalability.
• Passion for continuous learning and improvement.

About Oneture Technologies

Founded in 2016, Oneture is a cloud-first, full-service digital solutions company, helping clients harness the power of Digital Technologies and Data to drive transformations and turning ideas into business realities.

Our team is full of curious, full-stack, innovative thought leaders who are dedicated to providing outstanding customer experiences and building authentic relationships. We are compelled by our core values to drive transformational results from Ideas to Reality for clients across all company sizes, geographies, and industries. The Oneture team delivers full lifecycle solutions - from ideation,

project inception, planning through deployment to ongoing support and maintenance.

Our core competencies and technical expertise includes Cloud powered: Product Engineering, Big Data and AI ML. Our deep commitment to value creation for our clients and partners and “Startups-like agility with Enterprises-like maturity” philosophy has helped us establish long-term relationships with our clients and enabled us to build and manage mission-critical platforms for

them.

Job Summary

We are looking for an experienced Backend Developer proficient in .NET, Node.js, and MS SQL Server to join our technical team. The candidate will be responsible for building, maintaining, and optimizing scalable backend services and APIs, ensuring system reliability, performance, and security.

Key Responsibilities

• Design, develop, and maintain backend applications and APIs using .NET (Core/ASP.NET) and Node.js.
• Develop and manage MS SQL Server databases, including schema design, stored procedures, indexing, and performance optimization.
• Integrate backend logic with various third-party systems and APIs.
• Ensure scalability, high performance, and security across backend systems.
• Write clean, maintainable, and well-documented code following best practices.
• Debug and resolve production issues, ensuring system stability and reliability.
• Collaborate with QA engineers, DevOps, and other backend developers to deliver end-to-end solutions.
• Participate in Agile development processes including sprint planning, daily stand-ups, and retrospectives.
• Stay updated with emerging backend technologies and contribute to continuous improvement.

Required Skills & Qualifications

• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• 3–4 years of professional experience in backend development.
• Strong hands-on experience with .NET Core / ASP.NET / C#.
• Strong hands-on experience with Node.js (Express.js or NestJS preferred).
• Proficiency in MS SQL Server (T-SQL, stored procedures, performance tuning, query optimization).
• Experience developing and consuming RESTful APIs.
• Knowledge of API security standards (JWT, OAuth2, etc.).
• Familiarity with Git or other version control systems.
• Experience in Agile/Scrum development environments.

Nice to Have

• Experience with cloud platforms like Azure or AWS.
• Familiarity with ORM frameworks (Entity Framework, Sequelize).
• Exposure to CI/CD pipelines and containerization (Docker).
• Understanding of Redis or message queue systems (RabbitMQ, Kafka).

Soft Skills

• Strong analytical and problem-solving mindset.
• Excellent communication and teamwork skills.
• High sense of responsibility and ownership of assigned projects.
• Ability to work independently under minimal supervision.

Compensation

• Competitive salary based on experience and technical expertise.
• Performance-based bonuses and career growth opportunities.

Job Type: Full-time

We seek a skilled and motivated Azure DevOps engineer to join our dynamic team. The ideal candidate will design, implement, and manage CI/CD pipelines, automate deployments, and optimize cloud infrastructure using Azure DevOps tools and services. You will collaborate closely with development and IT teams to ensure seamless integration and delivery of software solutions in a fast-paced environment.

Responsibilities:

• Design, implement, and manage CI/CD pipelines using Azure DevOps.
• Automate infrastructure provisioning and deployments using Infrastructure as Code (IaC) tools like Terraform, ARM templates, or Azure CLI.
• Monitor and optimize Azure environments to ensure high availability, performance, and security.
• Collaborate with development, QA, and IT teams to streamline the software development lifecycle (SDLC).
• Troubleshoot and resolve issues related to build, deployment, and infrastructure.
• Implement and manage version control systems, primarily using Git.
• Manage containerization and orchestration using tools like Docker and Kubernetes.
• Ensure compliance with industry standards and best practices for security, scalability, and reliability.

Mission

Own architecture across web + backend, ship reliably, and establish patterns the team can scale on.

Responsibilities

• Lead system architecture for Next.js (web) and FastAPI (backend); own code quality, reviews, and release cadence.
• Build and maintain the web app (marketing, auth, dashboard) and a shared TS SDK (@revilo/contracts, @revilo/sdk).
• Integrate Stripe, Maps, analytics; enforce accessibility and performance baselines.
• Define CI/CD (GitHub Actions), containerization (Docker), env/promotions (staging → prod).
• Partner with Mobile and AI engineers on API/tool schemas and developer experience.

Requirements

• 6–10+ years; expert TypeScript, strong Python.
• Next.js (App Router), TanStack Query, shadcn/ui; FastAPI, Postgres, pydantic/SQLModel.
• Auth (OTP/JWT/OAuth), payments, caching, pagination, API versioning.
• Practical CI/CD and observability (logs/metrics/traces).

Nice-to-haves

• OpenAPI typegen (Zod), feature flags, background jobs/queues, Vercel/EAS.

Key Outcomes (ongoing)

• Stable architecture with typed contracts; <2% crash/error on web, p95 API latency in budget, reliable weekly releases.

Role Overview

An opportunity to work with the BI WORLDWIDE Technology team as a .Net Full Stack Developer.

Responsibilities

• Ability to convert requirements to design and deliver code
• Be able to take complete ownership of the delivery of a single/multiple module on time and schedule
• Quick learner to be able to pick new technologies to navigate through changes that happen time to time

Key Skills – Must Have

• Proven experience in .NET Development (.Net Core or .Net Framework Version above 4.0)
• Strong hands-on experience in Angular / AngularJS (14.0; above 8 plus can be considered)
• Should be expertise in Entity Framework (CF and EF Core)
• Strong Hands-on C# and OOPS Concepts and Design Pattern
• Expertise in MVC and WebAPI
• Hands-on Frontend technologies
• Familiarity with architecture styles/APIs (WebAPI, REST, RPC)
• Understanding of Agile methodologies
• SQL Server 2017

Key Skills – Good to Have

• Postgres SQL
• AWS
• GitLab
• Azure
• Redis
• LINQ Framework

Educational Qualification: BE/BTech, MTech / MSc

About BI Worldwide

Introduction

BI WORLDWIDE’s mission is to put our engagement expertise to work for you. We understand how to engage employees, channel partners and customers better than anyone else and we have the tools and resources to help your business tap into that knowledge to drive and sustain measurable results.

Our origins are both humble and ingenious. (We like to think that describes us pretty well). It started with founder Guy Scheidecker discovering innovative ways to provide consumer loyalty programs and incentives to various industries. That idea caught on, big time. It grew into what is now a multinational company serving Global 2000 corporations in over 125 countries in more than 20 languages.

Our U.S. headquarters is located in Minneapolis, Minnesota. We have more than 25 sales offices throughout the U.S. and headquarters around the world in Australia, Canada, China, India, Latin America, Singapore and the United Kingdom.

BI WORLDWIDE INDIA

In India, our headquarters is located in Bengaluru, Karnataka and other offices in Chennai, Delhi and Mumbai. In Chennai, we have a fully equipped infrastructure to develop and deploy advanced technology solutions for your engagement, rewards and loyalty programs.

With over 220+ associates and 40+ clients including marquee names such as Genpact, Wipro, Dr Reddy’s, Hewlett Packard, IBM, Michelin, Tata Motors, Amdocs etc, BIW India has established itself as a premium service provider and achieved a No.1 ranking in the employee recognition marketplace within a span of 8 years.

What makes us different

How did we get to be the world’s leading expert on engagement? Experience is part of it but it also stems from our unique approach. We design and deliver innovative solutions grounded in the science of behavioral economics.

In other words, we look at how thought and emotion combine to drive decisions and behavior. We don’t have to guess what might motivate teams or customers; we actually use research and data to figure out what will motivate them. Then we act on it.

What you’ll love about us?

For starters, we take these things to heart: Work hard, play hard, celebrate. Make work meaningful. Magnify successes. True to our EVP of Grow & have fun in a culture of innovation and trust, some initiatives we offer all our Associates.

For further information please visit our website www.biworldwide.com

We are looking for a Senior Data Engineer/Developer with over 10+ years of experience to be a key contributor to our data-driven initiatives. This role is 'primarily' focused on development, involving the design and construction of data models, writing complex SQL, developing ETL processes, and contributing to our data architecture. The 'secondary' focus involves applying your deep database knowledge to performance tuning, query optimization, and collaborating on DBA-related support activities on AWS environments (RDS, Redshift, SQL Server, Snowflake). The ideal candidate is a builder who understands how to get the most out of a database platform.Key Responsibilities Data Development & Engineering (Primary Focus):

·      Design & Development: Architect, design, and implement efficient, scalable, and sustainable data models and database schemas.

·      Advanced SQL Programming: Write sophisticated, highly-optimized SQL code for complex business logic, data retrieval, and manipulation within MySQL RDS, SQL Server, and AWS Redshift.

·      Data Pipeline & ETL Development: Collaborate with engineering teams to design, build, and maintain robust ETL processes and data pipeline integrations.

·      Automation & Scripting: Utilize Python as a primary tool for scripting, automation, data processing, and enhancing platform capabilities.

·      CI/CD Ownership: Own and enhance CI/CD pipelines for database deployments, schema migrations, and automated testing, ensuring smooth and reliable releases.

·      Solution Collaboration: Collaborate with application engineering teams to deliver scalable, secure, and performing data solutions and APIs.

Database Administration & Optimization (Secondary Focus):

·      Performance Tuning: Proactively identify and resolve performance bottlenecks, including slow-running queries, indexing strategies, and resource contention. Use tools like SQL Sentry for deep diagnostics.

·      Operational Support: Perform essential DBA activities such as supporting backup/recovery strategies, contributing to high-availability designs, and assisting with patch management plans.

·      AWS Data Management: Administer and optimize AWS RDS and Redshift instances, leveraging knowledge of DB Clusters (Read Replicas, Multi-AZ) for development and testing.

·      Monitoring & Reliability: Monitor data platform health using Amazon CloudWatch, xMatters, and other tools to ensure high availability and reliability, tackling issues as they arise.

Architecture & Mentorship:

·      Contribute to architectural decisions and infrastructure modernization efforts on AWS and Snowflake.

·      Provide technical guidance and mentorship to other developers on best practices in database design and SQL.

Required Qualifications & Experience

·      10+ years of experience in a data engineering, database development, or software development role with a heavy focus on data.

·      Expert-level SQL programming skills with extensive experience in MySQL (AWS RDS) and Microsoft SQL Server ,Redshift and snowflake

·      Strong development skills in Python for Lambda / glue development on

·      Hands-on experience designing and optimizing for AWS Redshift

·      Proven experience in performance tuning and optimization of complex queries and data models.

·      Solid understanding of ETL concepts, processes, and tools.

·      Experience with CI/CD tools (e.g., Bitbucket Pipelines, Jenkins) for automating database deployments.

·      Experience managing production data environments and troubleshooting platform issues.

·      Excellent written and verbal communication skills, with the ability to work effectively in a remote team.

Preferred Skills (Nice-to-Have)

·      Understanding of Data Governance

·      Experience with Snowflake, particularly around architecture, agents, data sharing, security, and performance.

·      Knowledge of infrastructure-as-code (IaC) tools like CloudFormation.

Work Schedule & Conditions

·      This is a 100% remote, long-term opportunity.

·      The standard work week will be Wednesday through Sunday.

·      Your designated days off will be Monday and Tuesday.

·      You must be willing to work partially overlapping hours with Eastern Standard Time (EST) to ensure collaboration with the team and support during core business hours

Bidgely is seeking an outstanding and deeply technical Principal Engineer / Sr. Principal Engineer / Architect to lead the architecture and evolution of our next-generation data and platform infrastructure. This is a senior IC role for someone who loves solving complex problems at scale, thrives in high-ownership environments, and influences engineering direction across teams.

You will be instrumental in designing scalable and resilient platform components that can handle trillions of data points, integrate machine learning pipelines, and support advanced energy analytics. As we evolve our systems for the future of clean energy, you will play a critical role in shaping the platform that powers all Bidgely products.

Responsibilities

• Architect & Design: Lead the end-to-end architecture of core platform components – from ingestion pipelines to ML orchestration and serving layers. Architect for scale (200Bn+ daily data points), performance, and flexibility.
• Technical Leadership: Act as a thought leader and trusted advisor for engineering teams. Review designs, guide critical decisions, and set high standards for software engineering excellence.
• Platform Evolution: Define and evolve the platform’s vision, making key choices in data processing, storage, orchestration, and cloud-native patterns.
• Mentorship: Coach senior engineers and staff on architecture, engineering best practices, and system thinking. Foster a culture of engineering excellence and continuous improvement.
• Innovation & Research: Evaluate and experiment with emerging technologies (e.g., event-driven architectures, AI infrastructure, new cloud-native tools) to stay ahead of the curve.
• Cross-functional Collaboration: Partner with Engineering Managers, Product Managers, and Data Scientists to align platform capabilities with product needs.
• Non-functional Leadership: Ensure systems are secure, observable, resilient, performant, and cost-efficient. Drive excellence in areas like compliance, DevSecOps, and cloud cost optimization.
• GenAI Integration: Explore and drive adoption of Generative AI to enhance developer productivity, platform intelligence, and automation of repetitive engineering tasks.

Requirements:

• 8+ years of experience in backend/platform architecture roles, ideally with experience at scale.
• Deep expertise in distributed systems, data engineering stacks (Kafka, Spark, HDFS, NoSQL DBs like Cassandra/ElasticSearch), and cloud-native infrastructure (AWS, GCP, or Azure).
• Proven ability to architect high-throughput, low-latency systems with batch + real-time processing.
• Experience designing and implementing DAG-based data processing and orchestration systems.
• Proficient in Java (Spring Boot, REST), and comfortable with infrastructure-as-code and CI/CD practices.
• Strong understanding of non-functional areas: security, scalability, observability, and
• compliance.
• Exceptional problem-solving skills and a data-driven approach to decision-making.
• Excellent communication and collaboration skills with the ability to influence at all levels.
• Prior experience working in a SaaS environment is a strong plus.
• Experience with GenAI tools or frameworks (e.g., LLMs, embedding models, prompt engineering, RAG, Copilot-like integrations) to accelerate engineering workflows or enhance platform intelligence is highly desirable.

About OOLIO

Founded in 2019, Oolio has rapidly grown into Australia’s largest hospitality tech provider, trusted by industry giants like Star Casinos. Our innovative solutions empower businesses to streamline operations, enhance guest experiences, and drive revenue growth.

With a global footprint, we’ve established offices in the UK, US, and New Zealand, delivering cutting-edge technology to some of the world’s most dynamic hospitality brands. At Oolio, we’re not just building software - we’re shaping the future of hospitality with innovation, agility, and a passion for excellence.

As a leading hospitality technology company, we deliver solutions that help restaurants, cafes, and food service businesses streamline operations, integrate ordering and payments, and enhance customer experiences. Our platform is built on modern cloud-native technologies and follows an event-driven architecture, enabling high scalability and reliability.

Responsibilities

• Design, develop, and maintain scalable and high-performance web and mobile applications.
• Work across the stack with Go, React and Node.js.
• Working understanding of React Native is a plus.
• Architect and optimize APIs and microservices to ensure reliability, scalability, and security.
• Deploy, monitor, and manage cloud infrastructure using Kubernetes and AWS.
• Collaborate with product managers, designers, and other engineers to build seamless user experiences.
• Conduct code reviews, mentor junior developers, and promote best practices in software development.
• Continuously improve system performance, observability, and developer productivity.
• Troubleshoot and resolve production issues, ensuring uptime and reliability.

Requirements

• 6+ years of experience as a Backend Engineer, working on production-grade applications.
• Strong proficiency in Golang (5+ yrs) for back-end development. Experience with React Native is a plus.
• Experience with Reactjs or Nodejs is a plus.
• Solid understanding of microservices architecture and API development.
• Experience with Kubernetes, Docker, and cloud platforms (AWS) - 4+ yrs.
• Knowledge of databases (SQL and NoSQL) such as PostgreSQL and DynamoDB.
• Familiarity with CI/CD pipelines and DevOps practices.
• Strong problem-solving and analytical skills.
• Built offline-first applications.
• Excellent communication and teamwork abilities.

Nice-to-Have

• Experience in the POS or payments industry.
• Knowledge of GraphQL and gRPC.
• Familiarity with event-driven architecture (Kafka, RabbitMQ, etc.).
• Exposure to performance tuning and high-traffic system optimizations.

What We Offer

• Competitive salary and benefits package.
• Hybrid work model with flexibility.
• Opportunity to work on cutting-edge technology in a fast-growing industry.
• A collaborative and dynamic work environment with a talented global team.
• Career growth opportunities and ongoing learning support.

Junior DevOps Engineer

Experience: 2–3 years

About Us

We are a fast-growing fintech/trading company focused on building scalable, high-performance systems for financial markets. Our technology stack powers real-time trading, risk management, and analytics platforms. We are looking for a motivated Junior DevOps Engineer to join our dynamic team and help us maintain and improve our infrastructure.

Key Responsibilities

• Support deployment, monitoring, and maintenance of trading and fintech applications.
• Automate infrastructure provisioning and deployment pipelines using tools like Ansible, Terraform, or similar.
• Collaborate with development and operations teams to ensure high availability, reliability, and security of systems.
• Troubleshoot and resolve production issues in a fast-paced environment.
• Implement and maintain CI/CD pipelines for continuous integration and delivery.
• Monitor system performance and optimize infrastructure for scalability and cost-efficiency.
• Assist in maintaining compliance with financial industry standards and security best practices.

Required Skills

• 2–3 years of hands-on experience in DevOps or related roles.
• Proficiency in Linux/Unix environments.
• Experience with containerization (Docker) and orchestration (Kubernetes).
• Familiarity with cloud platforms (AWS, GCP, or Azure).
• Working knowledge of scripting languages (Bash, Python).
• Experience with configuration management tools (Ansible, Puppet, Chef).
• Understanding of networking concepts and security practices.
• Exposure to monitoring tools (Prometheus, Grafana, ELK stack).
• Basic understanding of CI/CD tools (Jenkins, GitLab CI, GitHub Actions).

Preferred Skills

• Experience in fintech, trading, or financial services.
• Knowledge of high-frequency trading systems or low-latency environments.
• Familiarity with financial data protocols and APIs.
• Understanding of regulatory requirements in financial technology.

What We Offer

• Opportunity to work on cutting-edge fintech/trading platforms.
• Collaborative and learning-focused environment.
• Competitive salary and benefits.
• Career growth in a rapidly expanding domain.

🚀 We’re Hiring: React + Node.js Developer (Full Stack)

📍 Location: Mumbai / Pune (Final location will be decided post-interview)

💼 Experience: 5–8 years

🕒 Notice Period: Immediate to 15 days

About the Role:

We’re looking for a skilled Full Stack Developer with hands-on experience in React and Node.js, and a passion for building scalable, high-performance applications.

Key Skills & Responsibilities:

Strong expertise in React (frontend) and Node.js (backend).

Experience with relational databases (PostgreSQL / MySQL).

Familiarity with production systems and cloud services (AWS / GCP).

Strong grasp of OOP / FP and clean coding principles (e.g., SOLID).

Hands-on with Docker, and good to have exposure to Kubernetes, RabbitMQ, Redis.

Experience or interest in AI APIs & tools is a plus.

Excellent communication and collaboration skills.

Bonus: Contributions to open-source projects.

Job Summary :

We are looking for a proactive and skilled Senior DevOps Engineer to join our team and play a key role in building, managing, and scaling infrastructure for high-performance systems. The ideal candidate will have hands-on experience with Kubernetes, Docker, Python scripting, cloud platforms, and DevOps practices around CI/CD, monitoring, and incident response.

Key Responsibilities :

- Design, build, and maintain scalable, reliable, and secure infrastructure on cloud platforms (AWS, GCP, or Azure).

- Implement Infrastructure as Code (IaC) using tools like Terraform, Cloud Formation, or similar.

- Manage Kubernetes clusters, configure namespaces, services, deployments, and auto scaling.

CI/CD & Release Management :

- Build and optimize CI/CD pipelines for automated testing, building, and deployment of services.

- Collaborate with developers to ensure smooth and frequent deployments to production.

- Manage versioning and rollback strategies for critical deployments.

Containerization & Orchestration using Kubernetes :

- Containerize applications using Docker, and manage them using Kubernetes.

- Write automation scripts using Python or Shell for infrastructure tasks, monitoring, and deployment flows.

- Develop utilities and tools to enhance operational efficiency and reliability.

Monitoring & Incident Management :

- Analyze system performance and implement infrastructure scaling strategies based on load and usage trends.

- Optimize application and system performance through proactive monitoring and configuration tuning.

Desired Skills and Experience :

- Experience Required - 8+ yrs.

- Hands-on experience on cloud services like AWS, EKS etc.

- Ability to design a good cloud solution.

- Strong Linux troubleshooting, Shell Scripting, Kubernetes, Docker, Ansible, Jenkins Skills.

- Design and implement the CI/CD pipeline following the best industry practices using open-source tools.

- Use knowledge and research to constantly modernize our applications and infrastructure stacks.

- Be a team player and strong problem-solver to work with a diverse team.

- Having good communication skills.

Job Description.

1.      Cloud experience (Any cloud is fine although AWS is preferred. If non-AWS cloud, then the experience should reflect familiarity with the cloud's common services)

2.      Good grasp of Scripting (in Linux for sure ie bash/sh/zsh etc, Windows : nice to have)

3.      Python or Java or JS basic knowledge (Python Preferred)

4.      Monitoring tools

5.      Alerting tools

6.      Logging tools

7.      CICD

8.      Docker/containers/(k8s/terraform nice to have)

9.      Experience working on distributed applications with multiple services

10.  Incident management

11.  DB experience in terms of basic queries

12.  Understanding of performance analysis of applications

13.  Idea about data pipelines would be nice to have

14.  Snowflake querying knowledge: nice to have

The person should be able to :

Monitor system issues

Create strategies to detect and address issues

Implement automated systems to troubleshoot and resolve issues.

Write and review post-mortems

Manage infrastructure for multiple product teams

Collaborate with product engineering teams to ensure best practices are being followed

Company Description

Evoqins is an end-to-end digital product development team focused on maximizing the scalability and reliability of global businesses. We specialize in a wide range of domains including fintech, banking, e-commerce, supply chain, enterprises, logistics, healthcare, and hospitality. With ISO 9001 certification and a 4.9-star Google rating, we are proud to have 120+ satisfied customers and an 87% customer retention rate. Our services include UX/UI design, mobile app development, web app development, custom software development, and team augmentation. 

Role Description

We are looking for a passionate Senior Backend Developer.  You will be responsible for designing, developing, and maintaining scalable backend services and APIs using Python. 

• Role: Senor Backend Developer
• Location: Kochi
• Employment Type: Full Time
• 
  

Key Responsibilities

• Design, develop, and maintain scalable Python-based applications and APIs.
• Build and optimize backend systems using FastAPI/Django/Flask.
• Work with PostgreSQL/MySQL databases, ensuring efficiency and reliability.
• Develop and maintain REST APIs (GraphQL experience is a plus).
• Collaborate using Git-based version control.
• Deploy and manage applications on AWS cloud infrastructure.
• Ensure best practices in performance optimization, testing, and security.
• 
  

Required Skills & Experience

• 2– 5 years of hands-on Python development experience.
• Experience in Fintech projects is an advantage
• Proven experience in FastAPI and REST API development.
• Strong database skills with PostgreSQL (preferred) and MySQL.
• Practical exposure to API integrations and third-party services.
• Experience deploying and maintaining applications in production.
• Familiarity with AWS cloud services.

About Borderless Access

Borderless Access is a company that believes in fostering a culture of innovation and collaboration to build and deliver digital-first products for market research methodologies. This enables our customers to stay ahead of their competition.

We are committed to becoming the global leader in providing innovative digital offerings for consumers backed by advanced analytics, AI, ML, and cutting-edge technological capabilities.

Our Borderless Product Innovation and Operations team is dedicated to creating a top-tier market research platform that will drive our organization's growth. To achieve this, we're embracing modern technologies and a cutting-edge tech stack for faster, higher-quality product development.

The Product Development team is the core of our strategy, fostering collaboration and efficiency. If you're passionate about innovation and eager to contribute to our rapidly evolving market research domain, we invite you to join our team.

Key Responsibilities

• Lead, mentor, and grow a cross-functional team of engineers specializing.
• Foster a culture of collaboration, accountability, and continuous learning.
• Oversee the design and development of robust platform architecture with a focus on scalability, security, and maintainability.
• Establish and enforce engineering best practices including code reviews, unit testing, and CI/CD pipelines.
• Promote clean, maintainable, and well-documented code across the team.
• Lead architectural discussions and technical decision-making, with clear and concise documentation for software components and systems.
• Collaborate with Product, Design, and other stakeholders to define and prioritize platform features.
• Track and report on key performance indicators (KPIs) such as velocity, code quality, deployment frequency, and incident response times.
• Ensure timely delivery of high-quality software aligned with business goals.
• Work closely with DevOps to ensure platform reliability, scalability, and observability.
• Conduct regular 1:1s, performance reviews, and career development planning.
• Conduct code reviews and provide constructive feedback to ensure code quality and maintainability.
• Participate in the entire software development lifecycle, from requirements gathering to deployment and maintenance.

Added Responsibilities

• Defining and adhering to the development process.
• Taking part in regular external audits and maintaining artifacts.
• Identify opportunities for automation to reduce repetitive tasks.
• Mentor and coach team members in the teams.
• Continuously optimize application performance and scalability.
• Collaborate with the Marketing team to understand different user journeys.

Growth and Development

The following are some of the growth and development activities that you can look forward to at Borderless Access as an Engineering Manager:

• Develop leadership skills – Enhance your leadership abilities through workshops or coaching from Senior Leadership and Executive Leadership.
• Foster innovation – Become part of a culture of innovation and experimentation within the product development and operations team.
• Drive business objectives – Become part of defining and taking actions to meet the business objectives.

About You

• Bachelor's degree in Computer Science, Engineering, or a related field.
• 8+ years of experience in software development.
• Experience with microservices architecture and container orchestration.
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration skills.
• Solid understanding of data structures, algorithms, and software design patterns.
• Solid understanding of enterprise system architecture patterns.
• Experience in managing a small to medium-sized team with varied experiences.
• Strong proficiency in back-end development, including programming languages like Python, Java, or Node.js, and frameworks like Spring or Express.
• Strong proficiency in front-end development, including HTML, CSS, JavaScript, and popular frameworks like React or Angular.
• Experience with databases (e.g., MySQL, PostgreSQL, MongoDB).
• Experience with cloud platforms AWS, Azure, or GCP (preferred is Azure).
• Knowledge of containerization technologies Docker and Kubernetes.

ROLES AND RESPONSIBILITIES:

We are looking for a Software Engineering Manager to lead a high-performing team focused on building scalable, secure, and intelligent enterprise software. The ideal candidate is a strong technologist who enjoys coding, mentoring, and driving high-quality software delivery in a fast-paced startup environment.

KEY RESPONSIBILITIES:

• Lead and mentor a team of software engineers across backend, frontend, and integration areas.
• Drive architectural design, technical reviews, and ensure scalability and reliability.
• Collaborate with Product, Design, and DevOps teams to deliver high-quality releases on time.
• Establish best practices in agile development, testing automation, and CI/CD pipelines.
• Build reusable frameworks for low-code app development and AI-driven workflows.
• Hire, coach, and develop engineers to strengthen technical capabilities and team culture.

IDEAL CANDIDATE:

• B.Tech/B.E. in Computer Science from a Tier-1 Engineering College.
• 3+ years of professional experience as a software engineer, with at least 1 year mentoring or managing engineers.
• Strong expertise in backend development (Java / Node.js / Go / Python) and familiarity with frontend frameworks (React / Angular / Vue).
• Solid understanding of microservices, APIs, and cloud architectures (AWS/GCP/Azure).
• Experience with Docker, Kubernetes, and CI/CD pipelines.
• Excellent communication and problem-solving skills.

PREFERRED QUALIFICATIONS:

• Experience building or scaling SaaS or platform-based products.
• Exposure to GenAI/LLM, data pipelines, or workflow automation tools.
• Prior experience in a startup or high-growth product environment.

Job Summary:

We are seeking a skilled and forward-thinking Cloud AI Professional to join our technology team. The ideal candidate will have expertise in designing, deploying, and managing artificial intelligence and machine learning solutions in cloud environments (AWS, Azure, or Google Cloud). You will work at the intersection of cloud computing and AI, helping to build scalable, secure, and high-performance AI-driven applications and services.

Key Responsibilities:

• Design, develop, and deploy AI/ML models in cloud environments (AWS, GCP, Azure).
• Build and manage end-to-end ML pipelines using cloud-native tools (e.g., SageMaker, Vertex AI, Azure ML).
• Collaborate with data scientists, engineers, and stakeholders to define AI use cases and deliver solutions.
• Automate model training, testing, and deployment using MLOps practices.
• Optimize performance and cost of AI/ML workloads in the cloud.
• Ensure security, compliance, and scalability of deployed AI services.
• Monitor model performance in production and retrain models as needed.
• Stay current with new developments in AI/ML and cloud technologies.

Required Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• 3+ years of experience in AI/ML and cloud computing.
• Hands-on experience with cloud platforms (AWS, GCP, or Azure).
• Proficient in Python, TensorFlow, PyTorch, or similar frameworks.
• Strong understanding of MLOps tools and CI/CD for machine learning.
• Experience with containerization (Docker, Kubernetes).
• Familiarity with cloud-native data services (e.g., BigQuery, S3, Cosmos DB).

Preferred Qualifications:

• Certifications in Cloud (e.g., AWS Certified Machine Learning, Google Cloud Professional ML Engineer).
• Experience with generative AI, LLMs, or real-time inferencing.
• Knowledge of data governance and ethical AI practices.
• Experience with REST APIs and microservices architecture.

Soft Skills:

• Strong problem-solving and analytical skills.
• Excellent communication and collaboration abilities.
• Ability to work in a fast-paced, agile environment.

Candidate should have 6-9 years of experience in IoT embedded systems. He/ She should be

passionate, tech savvy, academically sound, have interest in embedded devices and

technologies.

Experience:

• Exposure to Microcontroller/Microprocessor Architecture /Family e.g. ARM Cortex,

Microchip, Xtensa ESP32, TI CC32XX, STM32

• Knowledge of Bare metal and any RTOS (Free RTOS, uC OS, EmbOSs, VxWorks, QNX)

• Knowledge of Microcontroller peripherals and low level drivers e.g. ADC, DAC, I2C, SPI,

UART, CAN, RS485, DMA, Ethernet, Display

• Knowledge of networking concepts like OSI layers, embedded TCP/IP stacks and common

IP protocols

• Knowledge of RF protocols WIFI, Bluetooth/BLE, IoT Cellular

• Knowledge of IoT communication protocols MQTT, COAP, AMQP

• Knowledge of Build toolchains and framework such as IAR, GCC, Keil, Mplab

• DFMA and DFMEA, Design release process

• Coding standards, guidelines and compliance tools

• Version control and repositories using git tools

• Software quality assurance and automated testing tools Experience / Skills Embedded software design cycle

• Documenting Software Design (flow charts, state diagram, logic design, analysis, implementation, debugging and testing etc)

• Good hands-on programming in Embedded C, C++.

• Programming in scripting languages such as batch, shell, python is a plus.

• Experience with AWS/Google cloud for device connectivity. Exposure to IoT cloud services. e.g. AWS IoT

• Software and Hardware integration testing and troubleshooting

• Protocol debugging using protocol analyzer.

• Understanding of Schematic/ Hardware design around microcontrollers like ST, TI, Atmel, Microchip, ARM core

Python Backend Developer

We are seeking a skilled Python Backend Developer responsible for managing the interchange of data between the server and the users. Your primary focus will be on developing server-side logic to ensure high performance and responsiveness to requests from the front end. You will also be responsible for integrating front-end elements built by your coworkers into the application, as well as managing AWS resources.

Roles & Responsibilities

• Develop and maintain scalable, secure, and robust backend services using Python
• Design and implement RESTful APIs and/or GraphQL endpoints
• Integrate user-facing elements developed by front-end developers with server-side logic
• Write reusable, testable, and efficient code
• Optimize components for maximum performance and scalability
• Collaborate with front-end developers, DevOps engineers, and other team members
• Troubleshoot and debug applications
• Implement data storage solutions (e.g., PostgreSQL, MySQL, MongoDB)
• Ensure security and data protection

Mandatory Technical Skill Set

• Implementing optimal data storage (e.g., PostgreSQL, MySQL, MongoDB, S3)
• Python backend development experience
• Design, implement, and maintain CI/CD pipelines using tools such as Jenkins, GitLab CI/CD, or GitHub Actions
• Implemented and managed containerization platforms such as Docker and orchestration tools like Kubernetes
• Previous hands-on experience in:
• EC2, S3, ECS, EMR, VPC, Subnets, SQS, CloudWatch, CloudTrail, Lambda, SageMaker, RDS, SES, SNS, IAM, S3, Backup, AWS WAF
• SQL

We’re seeking a highly skilled, execution-focused Senior Data Scientist with a minimum of 5 years of experience. This role demands hands-on expertise in building, deploying, and optimizing machine learning models at scale, while working with big data technologies and modern cloud platforms. You will be responsible for driving data-driven solutions from experimentation to production, leveraging advanced tools and frameworks across Python, SQL, Spark, and AWS. The role requires strong technical depth, problem-solving ability, and ownership in delivering business impact through data science.

Responsibilities

• Design, build, and deploy scalable machine learning models into production systems.
• Develop advanced analytics and predictive models using Python, SQL, and popular ML/DL frameworks (Pandas, Scikit-learn, TensorFlow, PyTorch).
• Leverage Databricks, Apache Spark, and Hadoop for large-scale data processing and model training.
• Implement workflows and pipelines using Airflow and AWS EMR for automation and orchestration.
• Collaborate with engineering teams to integrate models into cloud-based applications on AWS.
• Optimize query performance, storage usage, and data pipelines for efficiency.
• Conduct end-to-end experiments, including data preprocessing, feature engineering, model training, validation, and deployment.
• Drive initiatives independently with high ownership and accountability.
• Stay up to date with industry best practices in machine learning, big data, and cloud-native deployments.

Requirements:

• Minimum 5 years of experience in Data Science or Applied Machine Learning.
• Strong proficiency in Python, SQL, and ML libraries (Pandas, Scikit-learn, TensorFlow, PyTorch).
• Proven expertise in deploying ML models into production systems.
• Experience with big data platforms (Hadoop, Spark) and distributed data processing.
• Hands-on experience with Databricks, Airflow, and AWS EMR.
• Strong knowledge of AWS cloud services (S3, Lambda, SageMaker, EC2, etc.).
• Solid understanding of query optimization, storage systems, and data pipelines.
• Excellent problem-solving skills, with the ability to design scalable solutions.
• Strong communication and collaboration skills to work in cross-functional teams.

Benefits:

• Best in class salary: We hire only the best, and we pay accordingly.
• Proximity Talks: Meet other designers, engineers, and product geeks — and learn from experts in the field.
• Keep on learning with a world-class team: Work with the best in the field, challenge yourself constantly, and learn something new every day.

About Us:

Proximity is the trusted technology, design, and consulting partner for some of the biggest Sports, Media, and Entertainment companies in the world! We’re headquartered in San Francisco and have offices in Palo Alto, Dubai, Mumbai, and Bangalore. Since 2019, Proximity has created and grown high-impact, scalable products used by 370 million daily users, with a total net worth of $45.7 billion among our client companies.

Today, we are a global team of coders, designers, product managers, geeks, and experts. We solve complex problems and build cutting-edge tech, at scale. Our team of Proxonauts is growing quickly, which means your impact on the company’s success will be huge. You’ll have the chance to work with experienced leaders who have built and led multiple tech, product, and design teams.

Job Title: Senior AI Engineer

Location: Bengaluru, India – (Hybrid)

About Reltio

At Reltio®, we believe data should fuel business success. Reltio’s AI-powered data unification and management capabilities—encompassing entity resolution, multi-domain master data management (MDM), and data products—transform siloed data from disparate sources into unified, trusted, and interoperable data.

Reltio Data Cloud™ delivers interoperable data where and when it's needed, empowering data and analytics leaders with unparalleled business responsiveness. Leading enterprise brands across multiple industries around the globe rely on our award-winning data unification and cloud-native MDM capabilities to improve efficiency, manage risk, and drive growth.

At Reltio, our values guide everything we do. With an unyielding commitment to prioritizing our “Customer First”, we strive to ensure their success. We embrace our differences and are “Better Together” as One Reltio. We “Simplify and Share” our knowledge to remove obstacles for each other. We “Own It”, holding ourselves accountable for our actions and outcomes. Every day, we innovate and evolve so that today is “Always Better Than Yesterday.”

If you share and embody these values, we invite you to join our team at Reltio and contribute to our mission of excellence.

Reltio has earned numerous awards and top rankings for our technology, our culture, and our people. Founded on a distributed workforce, Reltio offers flexible work arrangements to help our people manage their personal and professional lives. If you’re ready to work on unrivaled technology as part of a collaborative team on a mission to enable digital transformation with connected data, let’s talk!

Job Summary

As a Senior AI Engineer at Reltio, you will be a core part of the team responsible for building intelligent systems that enhance data quality, automate decision-making, and drive entity resolution at scale.

You will work with cross-functional teams to design and deploy advanced AI/ML solutions that are production-ready, scalable, and embedded into our flagship data platform.

This is a high-impact engineering role with exposure to cutting-edge problems in entity resolution, deduplication, identity stitching, record linking, and metadata enrichment.

Job Duties and Responsibilities

• Design, implement, and optimize state-of-the-art AI/ML models for solving real-world data management challenges such as entity resolution, classification, similarity matching, and anomaly detection.
• Work with structured, semi-structured, and unstructured data to extract signals and engineer intelligent features for large-scale ML pipelines.
• Develop scalable ML workflows using Spark, MLlib, PyTorch, TensorFlow, or MLFlow, with seamless integration into production systems.
• Translate business needs into technical design and collaborate with data scientists, product managers, and platform engineers to operationalize models.
• Continuously monitor and improve model performance using feedback loops, A/B testing, drift detection, and retraining strategies.
• Conduct deep dives into customer data challenges and apply innovative machine learning algorithms to address accuracy, speed, and bias.
• Actively contribute to research and experimentation efforts, staying updated with the latest AI trends in graph learning, NLP, probabilistic modeling, etc.
• Document designs and present outcomes to both technical and non-technical stakeholders, fostering transparency and knowledge sharing.

Skills You Must Have

• Bachelor’s or Master’s degree in Computer Science, Machine Learning, Artificial Intelligence, or related field. PhD is a plus.
• 4+ years of hands-on experience in developing and deploying machine learning models in production environments.
• Proficiency in Python (NumPy, scikit-learn, pandas, PyTorch/TensorFlow) and experience with large-scale data processing tools (Spark, Kafka, Airflow).
• Strong understanding of ML fundamentals, including classification, clustering, feature selection, hyperparameter tuning, and evaluation metrics.
• Demonstrated experience working with entity resolution, identity graphs, or data deduplication.
• Familiarity with containerized environments (Docker, Kubernetes) and cloud platforms (AWS, GCP, Azure).
• Strong debugging, analytical, and communication skills with a focus on delivery and impact.
• Attention to detail, ability to work independently, and a passion for staying updated with the latest advancements in the field of data science.

Skills Good to Have

• Experience with knowledge graphs, graph-based ML, or embedding techniques.
• Exposure to deep learning applications in data quality, record matching, or information retrieval.
• Experience building explainable AI solutions in regulated domains.
• Prior work in SaaS, B2B enterprise platforms, or data infrastructure companies.

What You’ll Do:

In this role, you will take the lead in designing, building, and optimising high-performance backend systems and micro-services architecture. As a Tech Lead, you will mentor and guide a team of backend engineers, collaborate with cross-functional teams, drive technical excellence, and establish best practices for system design and engineering.

Leadership & Mentorship

• Lead and mentor a team of engineers, ensuring technical excellence, code quality, and continuous improvement.
• Provide guidance on complex technical issues, system design challenges, and architectural decisions.
• Foster a culture of collaboration, innovation, and knowledge sharing within the team.
• Develop and maintain backend engineering processes, practices, and coding standards across the team.
• Conduct regular code reviews and provide constructive technical feedback to team members.
• Actively mentor engineers on advanced design patterns, micro-services architecture, and best practices.

System Architecture & Engineering

• Design and develop robust, scalable, and efficient micro-services architecture and backend systems.
• Architect solutions that support high-throughput, low-latency operations across the healthcare domain.
• Translate business requirements into detailed technical designs, system diagrams, and implementation plans.
• Ensure seamless integration of backend services with frontend applications, data pipelines, and third-party APIs.
• Optimize system performance, scalability, and resource utilisation.
• Implement comprehensive testing strategies, including unit tests, integration tests, and end-to-end tests.

Technology Stack & Implementation

• Lead the selection and implementation of appropriate backend technologies and frameworks.
• Proficiency with Java, Spring Boot, and Spring Framework for building enterprise-grade applications.
• Design and implement event-driven architectures using Apache Kafka for real-time data processing and asynchronous communication.
• Strong expertise in database design, optimisation, and management (SQL and NoSQL databases).
• Experience with cloud platforms (AWS/GCP) for deploying and scaling backend services.
• Hands-on experience with containerisation technologies (Docker, Kubernetes).
• Proficiency in version control, build tools, and automation frameworks.

Collaboration & Stakeholder Management

• Work closely with Product Managers, Data Scientists, Frontend Engineers, and Business Stakeholders to understand requirements and deliver solutions that meet business needs.
• Participate in cross-functional design reviews and architecture discussions.
• Collaborate with the Data Engineering and Analytics teams to ensure smooth integration of data services.
• Communicate technical decisions and trade-offs effectively to both technical and non-technical audiences.
• Participate in Agile ceremonies and ensure technical alignment with sprint goals.

Continuous Improvement

• Stay updated with the latest trends in backend engineering, cloud technologies, and micro-services architecture.
• Drive automation, testing, and optimisation within backend systems to improve efficiency and reliability.
• Participate in architectural reviews and design discussions for cross-team initiatives.
• Identify technical risks early and develop mitigation strategies.
• Maintain comprehensive system documentation and architecture decision records (ADRs).

Who You Are:

Experience

• Bachelor’s degree in engineering (CS / IT) or equivalent degree from a well-known Institute / University.
• 5+ years of experience in backend software engineering or related roles.
• At least 2 years of experience in a technical leadership or senior engineering position.
• Extensive experience designing and implementing micro-services architecture.
• Strong background with event-driven architectures and message-broker systems (Kafka, RabbitMQ).
• Deep expertise in relational database design, optimisation, and management (PostgreSQL, MySQL, Oracle).
• Experience with big data analytics databases (Clickhouse, Druid, etc.).
• Proven ability to mentor and guide other engineers in technical problem-solving.
• Demonstrated success in leading technical initiatives and driving architectural decisions.

Technical Skills

• Expert-level proficiency in Java and Spring Boot framework.
• Strong understanding of micro-services architecture patterns, design patterns, and SOLID principles.
• Hands-on experience with Apache Kafka for building event-driven systems.
• Proficient in SQL and database optimisation.
• Strong fundamentals in data structures, algorithms, and system design.
• Experience with cloud platforms (AWS/GCP/Azure) for deploying and managing services.
• Familiarity with containerisation and orchestration tools (Docker, Kubernetes).
• Experience with monitoring, logging, and observability tools (ELK Stack, Prometheus, Grafana, etc.).
• Version control expertise (Git, GitHub, GitLab).
• Strong understanding of security best practices and compliance requirements.

Soft Skills

• Excellent problem-solving and analytical skills with ability to break down complex problems.
• Strong communication and interpersonal skills, with ability to work effectively with technical and non-technical stakeholders.
• Ability to manage multiple priorities in a fast-paced, dynamic environment.
• Strong mentoring and leadership capabilities.
• Collaborative mindset with a focus on team growth and development.
• Proactive approach to identifying and addressing technical debt.
• Passion for building high-quality, maintainable software.
• Strong sense of ownership and accountability for deliverables.

What We Offer

• Opportunity to lead cutting-edge backend systems in the healthcare tech space.
• Mentorship from experienced engineering leaders and architects.
• Career growth opportunities in a dynamic, fast-growing organizstion.
• Competitive compensation and benefits package.
• Collaborative and inclusive engineering culture.
• Access to learning and development resources.
• Impact on improving patient outcomes through technology.

Key Responsibilities

•     Design, develop, and implement backend services using Java (latest version), Spring Boot, and Microservices architecture.
•     Participate in the end-to-end development lifecycle, from requirement analysis to deployment and support.
•     Collaborate with cross-functional teams (UI/UX, DevOps, Product) to deliver high-quality, scalable software solutions.
•     Integrate APIs and manage data flow between services and front-end systems.
•     Work on cloud-based deployment using AWS or GCP environments.
•     Ensure performance, security, and scalability of services in production.
•     Contribute to technical documentation, code reviews, and best practice implementations.

Required Skills:

•     Strong hands-on experience with Core Java (latest versions), Spring Boot, and Microservices.
•     Solid understanding of RESTful APIs, JSON, and distributed systems.
•     Basic knowledge of Kubernetes (K8s) for containerization and orchestration.
•     Working experience or strong conceptual understanding of cloud platforms (AWS / GCP).
•     Exposure to CI/CD pipelines, version control (Git), and deployment automation.
•     Familiarity with security best practices, logging, and monitoring tools.

Preferred Skills:

•     Experience with end-to-end deployment on AWS or GCP.
•     Familiarity with payment gateway integrations or fintech applications.
•     Understanding of DevOps concepts and infrastructure-as-code tools (Added advantage).

Company Description

Appiness Interactive Pvt. Ltd. is a Bangalore-based product development and UX firm that specializes in digital services for startups to fortune-500s. We work closely with our clients to

create a comprehensive soul for their brand in the online world, engaged through multiple

platforms of digital media. Our team is young, passionate, and aggressive, not afraid to think out

of the box or tread the un-trodden path in order to deliver the best results for our clients. We

pride ourselves on Practical Creativity where the idea is only as good as the returns it fetches for

our clients.

Role Overview

We are hiring a Founding Backend Engineer to architect and build the core backend

infrastructure for our enterprise AI chat platform. This role involves creating everything from

secure chat APIs and data pipelines to document embeddings, vector search, and RAG

(Retrieval-Augmented Generation) workflows. You will work directly with the CTO and play a

pivotal role in shaping the platform’s architecture, performance, and scalability as we onboard

enterprise customers. This is a high-ownership role where you’ll influence product direction, tech

decisions, and long-term engineering culture.

Key Responsibilities

● Architect, develop, and scale backend systems and APIs powering AI chat and knowledge

retrieval.

● Build data ingestion & processing pipelines for structured and unstructured enterprise

data.

● Implement multi-tenant security, user access control (RBAC), encryption, and

compliance-friendly design.

● Integrate and orchestrate LLMs (OpenAI, Anthropic, etc.) with vector databases

(Pinecone, Qdrant, OpenSearch) to support advanced AI and RAG workflows.

● Ensure platform reliability, performance, and fault tolerance from day one.

● Own end-to-end CI/CD, observability, and deployment pipelines.

● Collaborate directly with leadership on product strategy, architecture, and scaling

roadmap.

Required Skills

● Strong hands-on experience in Python (Django/FastAPI) or Node.js (TypeScript) — Python

preferred.

● Deep understanding of PostgreSQL, Redis, Docker, and modern API design patterns.

● Experience with LLM integration, RAG pipelines, and vector search technologies.

● Strong exposure to cloud platforms (AWS or GCP), CI/CD, and microservice architecture.

● Solid foundation in security best practices — authentication, RBAC, encryption, data

isolation.

● Ability to independently design and deliver high-performance distributed systems.

Role Overview

We are looking for a hands-on Engineering Manager to lead backend and platform development. You’ll drive scalable, secure, and high-performance solutions using Java, Spring Boot, and AWS, while mentoring a talented engineering team and delivering real-world impact through proven projects.

Key Responsibilities

• Lead, mentor, and grow a team of backend engineers to deliver robust and scalable systems.

• Design and architect backend services using Java, Spring Boot, and AWS infrastructure.

• Ensure code quality, CI/CD, and best practices across deployments.

• Collaborate with Product, Design, and Data teams to translate business goals into technical outcomes.

• Drive technical decisions, performance optimization, and system reliability.

• Manage sprint planning, resource allocation, and project delivery timelines.

• Contribute to hands-on coding, design reviews, and architecture discussions.

Requirements

• 6–10 years of software development experience, including 2+ years leading engineering teams.

• Strong expertise in Java, Spring Boot, AWS (EC2, S3, Lambda, RDS), and related backend frameworks.

• Proven experience in building and scaling production-grade systems and services.

• Solid understanding of RESTful APIs, microservices, and distributed systems.

• Experience with Agile/Scrum development methodologies.

• Excellent leadership, communication, and decision-making skills.

• Prior experience in a fintech or high-scale product startup preferred.

Why Join Univest

• Shape how India trades and invests — real users, real money, real impact.

• Fast-paced environment with ownership and room to experiment.

• Work directly with founders on tech strategy and scale.

• Transparent, high-trust culture with competitive compensation and ESOPs.

• Fun, collaborative, and ambitious team driving real innovation in fintech.

Role: DevOps Engineer

Experience: 2–3+ years

Location: Pune

Work Mode: Hybrid (3 days Work from office)

Mandatory Skills:

• Strong hands-on experience with CI/CD tools like Jenkins, GitHub Actions, or AWS CodePipeline
• Proficiency in scripting languages (Bash, Python, PowerShell)
• Hands-on experience with containerization (Docker) and container management
• Proven experience managing infrastructure (On-premise or AWS/VMware)
• Experience with version control systems (Git/Bitbucket/GitHub)
• Familiarity with monitoring and logging tools for system performance tracking
• Knowledge of security best practices and compliance standards
• Bachelor's degree in Computer Science, Engineering, or related field
• Willingness to support production issues during odd hours when required

Preferred Qualifications:

• Certifications in AWS, Docker, or VMware
• Experience with configuration management tools like Ansible
• Exposure to Agile and DevOps methodologies
• Hands-on experience with Virtual Machines and Container orchestration

Review Criteria

• Strong Software Engineer, Engineering Manager Profiles
• Must have minimum 4+ years of hands-on experience in software development
• Must have 3+ years of hands-on experience in backend development using Java / Node.js / Go / Python (any 1).
• Must have experience or familiarity with frontend frameworks such as React / Angular / Vue.
• Must have at least 1+ year of experience leading or mentoring a team of software engineers.
• Must have a solid understanding of microservices architecture, APIs, and cloud platforms (AWS / GCP / Azure).
• Must have hands-on experience working with Docker, Kubernetes, and CI/CD pipelines.
• Top-tier/renowned product-based company (preferred Entreprise B2B SaaS)

Preferred

• Experience in building or scaling SaaS / platform-based products
• Exposure to GenAI / LLMs, data pipelines, or workflow automation tools
• Prior experience in a startup or high-growth product environment

Role & Responsibilities

We are looking for a Software Engineering Manager to lead a high-performing team focused on building scalable, secure, and intelligent enterprise software. The ideal candidate is a strong technologist who enjoys coding, mentoring, and driving high-quality software delivery in a fast-paced startup environment.

Key Responsibilities:

• Lead and mentor a team of software engineers across backend, frontend, and integration areas.
• Drive architectural design, technical reviews, and ensure scalability and reliability.
• Collaborate with Product, Design, and DevOps teams to deliver high-quality releases on time.
• Establish best practices in agile development, testing automation, and CI/CD pipelines.
• Build reusable frameworks for low-code app development and AI-driven workflows.
• Hire, coach, and develop engineers to strengthen technical capabilities and team culture.

Ideal Candidate

• B.Tech/B.E. in Computer Science from a Tier-1 Engineering College.
• 3+ years of professional experience as a software engineer, with at least 1 year mentoring or managing engineers.
• Strong expertise in backend development (Java / Node.js / Go / Python) and familiarity with frontend frameworks (React / Angular / Vue).
• Solid understanding of microservices, APIs, and cloud architectures (AWS/GCP/Azure).
• Experience with Docker, Kubernetes, and CI/CD pipelines.
• Excellent communication and problem-solving skills.

Preferred Qualifications:

• Experience building or scaling SaaS or platform-based products.
• Exposure to GenAI/LLM, data pipelines, or workflow automation tools.
• Prior experience in a startup or high-growth product environment.

Review Criteria

• Strong DevOps /Cloud Engineer Profiles
• Must have 3+ years of experience as a DevOps / Cloud Engineer
• Must have strong expertise in cloud platforms – AWS / Azure / GCP (any one or more)
• Must have strong hands-on experience in Linux administration and system management
• Must have hands-on experience with containerization and orchestration tools such as Docker and Kubernetes
• Must have experience in building and optimizing CI/CD pipelines using tools like GitHub Actions, GitLab CI, or Jenkins
• Must have hands-on experience with Infrastructure-as-Code tools such as Terraform, Ansible, or CloudFormation
• Must be proficient in scripting languages such as Python or Bash for automation
• Must have experience with monitoring and alerting tools like Prometheus, Grafana, ELK, or CloudWatch
• Top tier Product-based company (B2B Enterprise SaaS preferred)

Preferred

• Experience in multi-tenant SaaS infrastructure scaling.
• Exposure to AI/ML pipeline deployments or iPaaS / reverse ETL connectors.

Role & Responsibilities

We are seeking a DevOps Engineer to design, build, and maintain scalable, secure, and resilient infrastructure for our SaaS platform and AI-driven products. The role will focus on cloud infrastructure, CI/CD pipelines, container orchestration, monitoring, and security automation, enabling rapid and reliable software delivery.

Key Responsibilities:

• Design, implement, and manage cloud-native infrastructure (AWS/Azure/GCP).
• Build and optimize CI/CD pipelines to support rapid release cycles.
• Manage containerization & orchestration (Docker, Kubernetes).
• Own infrastructure-as-code (Terraform, Ansible, CloudFormation).
• Set up and maintain monitoring & alerting frameworks (Prometheus, Grafana, ELK, etc.).
• Drive cloud security automation (IAM, SSL, secrets management).
• Partner with engineering teams to embed DevOps into SDLC.
• Troubleshoot production issues and drive incident response.
• Support multi-tenant SaaS scaling strategies.

Ideal Candidate

• 3–6 years' experience as DevOps/Cloud Engineer in SaaS or enterprise environments.
• Strong expertise in AWS, Azure, or GCP.
• Strong expertise in LINUX Administration.
• Hands-on with Kubernetes, Docker, CI/CD tools (GitHub Actions, GitLab, Jenkins).
• Proficient in Terraform/Ansible/CloudFormation.
• Strong scripting skills (Python, Bash).
• Experience with monitoring stacks (Prometheus, Grafana, ELK, CloudWatch).
• Strong grasp of cloud security best practices.

Designation: Senior Python Django Developer 

Position: Senior Python Developer

Job Types: Full-time, Permanent

Pay: Up to ₹800,000.00 per year

Schedule: Day shift

Ability to commute/relocate: Bhopal Indrapuri (MP) And Bangalore JP Nagar

Experience: Back-end development: 4 years (Required)

Job Description:

We are looking for a highly skilled Senior Python Django Developer with extensive experience in building and scaling financial or payments-based applications. The ideal candidate has a deep understanding of system design, architecture patterns, and testing best practices, along with a strong grasp of the startup environment.

This role requires a balance of hands-on coding, architectural design, and collaboration across teams to deliver robust and scalable financial products.

Responsibilities:

• Design and develop scalable, secure, and high-performance applications using Python (Django framework).
• Architect system components, define database schemas, and optimize backend services for speed and efficiency.
• Lead and implement design patterns and software architecture best practices.
• Ensure code quality through comprehensive unit testing, integration testing, and participation in code reviews.
• Collaborate closely with Product, DevOps, QA, and Frontend teams to build seamless end-to-end solutions.
• Drive performance improvements, monitor system health, and troubleshoot production issues.
• Apply domain knowledge in payments and finance, including transaction processing, reconciliation, settlements, wallets, UPI, etc.
• Contribute to technical decision-making and mentor junior developers.

Requirements:

• 4 to 10 years of professional backend development experience with Python and Django.
• Strong background in payments/financial systems or FinTech applications.
• Proven experience in designing software architecture in a microservices or modular monolith environment.
• Experience working in fast-paced startup environments with agile practices.
• Proficiency in RESTful APIs, SQL (PostgreSQL/MySQL), NoSQL (MongoDB/Redis).
• Solid understanding of Docker, CI/CD pipelines, and cloud platforms (AWS/GCP/Azure).
• Hands-on experience with test-driven development (TDD) and frameworks like pytest, unit test, or factory boy.
• Familiarity with security best practices in financial applications (PCI compliance, data encryption, etc.).

Preferred Skills:

• Exposure to event-driven architecture (Celery, Kafka, RabbitMQ).
• Experience integrating with third-party payment gateways, banking APIs, or financial instruments.
• Understanding of DevOps and monitoring tools (Prometheus, ELK, Grafana).
• Contributions to open-source or personal finance-related projects.

Job Details

- Job Title: Lead II - Software Engineering- AI, NLP, Python, Data science

- Industry: Technology

- Domain - Information technology (IT)

- Experience Required: 7-9 years

- Employment Type: Full Time

- Job Location: Bangalore

- CTC Range: Best in Industry

Job Description:

Role Proficiency:

Act creatively to develop applications by selecting appropriate technical options optimizing application development maintenance and performance by employing design patterns and reusing proven solutions. Account for others' developmental activities; assisting Project Manager in day-to-day project execution.

Additional Comments:

Mandatory Skills Data Science Skill to Evaluate AI, Gen AI, RAG, Data Science

Experience 8 to 10 Years

Location Bengaluru

Job Description

Job Title AI Engineer Mandatory Skills Artificial Intelligence, Natural Language Processing, python, data science Position AI Engineer – LLM & RAG Specialization Company Name: Sony India Software Centre About the role: We are seeking a highly skilled AI Engineer with 8-10 years of experience to join our innovation-driven team. This role focuses on the design, development, and deployment of advanced enterprise-scale Large Language Models (eLLM) and Retrieval Augmented Generation (RAG) solutions. You will work on end-to-end AI pipelines, from data processing to cloud deployment, delivering impactful solutions that enhance Sony’s products and services. Key Responsibilities: Design, implement, and optimize LLM-powered applications, ensuring high performance and scalability for enterprise use cases. Develop and maintain RAG pipelines, including vector database integration (e.g., Pinecone, Weaviate, FAISS) and embedding model optimization. Deploy, monitor, and maintain AI/ML models in production, ensuring reliability, security, and compliance. Collaborate with product, research, and engineering teams to integrate AI solutions into existing applications and workflows. Research and evaluate the latest LLM and AI advancements, recommending tools and architectures for continuous improvement. Preprocess, clean, and engineer features from large datasets to improve model accuracy and efficiency. Conduct code reviews and enforce AI/ML engineering best practices. Document architecture, pipelines, and results; present findings to both technical and business stakeholders. Job Description: 8-10 years of professional experience in AI/ML engineering, with at least 4+ years in LLM development and deployment. Proven expertise in RAG architectures, vector databases, and embedding models. Strong proficiency in Python; familiarity with Java, R, or other relevant languages is a plus. Experience with AI/ML frameworks (PyTorch, TensorFlow, etc.) and relevant deployment tools. Hands-on experience with cloud-based AI platforms such as AWS SageMaker, AWS Q Business, AWS Bedrock or Azure Machine Learning. Experience in designing, developing, and deploying Agentic AI systems, with a focus on creating autonomous agents that can reason, plan, and execute tasks to achieve specific goals. Understanding of security concepts in AI systems, including vulnerabilities and mitigation strategies. Solid knowledge of data processing, feature engineering, and working with large-scale datasets. Experience in designing and implementing AI-native applications and agentic workflows using the Model Context Protocol (MCP) is nice to have. Strong problem-solving skills, analytical thinking, and attention to detail. Excellent communication skills with the ability to explain complex AI concepts to diverse audiences. Day-to-day responsibilities: Design and deploy AI-driven solutions to address specific security challenges, such as threat detection, vulnerability prioritization, and security automation. Optimize LLM-based models for various security use cases, including chatbot development for security awareness or automated incident response. Implement and manage RAG pipelines for enhanced LLM performance. Integrate AI models with existing security tools, including Endpoint Detection and Response (EDR), Threat and Vulnerability Management (TVM) platforms, and Data Science/Analytics platforms. This will involve working with APIs and understanding data flows. Develop and implement metrics to evaluate the performance of AI models. Monitor deployed models for accuracy and performance and retrain as needed. Adhere to security best practices and ensure that all AI solutions are developed and deployed securely. Consider data privacy and compliance requirements. Work closely with other team members to understand security requirements and translate them into AI-driven solutions. Communicate effectively with stakeholders, including senior management, to present project updates and findings. Stay up to date with the latest advancements in AI/ML and security and identify opportunities to leverage new technologies to improve our security posture. Maintain thorough documentation of AI models, code, and processes. What We Offer Opportunity to work on cutting-edge LLM and RAG projects with global impact. A collaborative environment fostering innovation, research, and skill growth. Competitive salary, comprehensive benefits, and flexible work arrangements. The chance to shape AI-powered features in Sony’s next-generation products. Be able to function in an environment where the team is virtual and geographically dispersed

Education Qualification: Graduate

Skills: AI, NLP, Python, Data science

Must-Haves

Skills

AI, NLP, Python, Data science

NP: Immediate – 30 Days

Job Details

- Job Title: ML Engineer II - Aws, Aws Cloud

- Industry: Technology

- Domain - Information technology (IT)

- Experience Required: 6-12 years

- Employment Type: Full Time

- Job Location: Pune

- CTC Range: Best in Industry

Job Description:

Core Responsibilities:

? The MLE will design, build, test, and deploy scalable machine learning systems, optimizing model accuracy and efficiency

? Model Development: Algorithms and architectures span traditional statistical methods to deep learning along with employing LLMs in modern frameworks.

? Data Preparation: Prepare, cleanse, and transform data for model training and evaluation.

? Algorithm Implementation: Implement and optimize machine learning algorithms and statistical models.

? System Integration: Integrate models into existing systems and workflows.

? Model Deployment: Deploy models to production environments and monitor performance.

? Collaboration: Work closely with data scientists, software engineers, and other stakeholders.

? Continuous Improvement: Identify areas for improvement in model performance and systems.

Skills:

? Programming and Software Engineering: Knowledge of software engineering best practices (version control, testing, CI/CD).

? Data Engineering: Ability to handle data pipelines, data cleaning, and feature engineering. Proficiency in SQL for data manipulation + Kafka, Chaossearch logs, etc for troubleshooting; Other tech touch points are ScyllaDB (like BigTable), OpenSearch, Neo4J graph

? Model Deployment and Monitoring: MLOps Experience in deploying ML models to production environments.

? Knowledge of model monitoring and performance evaluation.

Required experience:

? Amazon SageMaker: Deep understanding of SageMaker's capabilities for building, training, and deploying ML models; understanding of the Sagemaker pipeline with ability to analyze gaps and recommend/implement improvements

? AWS Cloud Infrastructure: Familiarity with S3, EC2, Lambda and using these services in

ML workflows

? AWS data: Redshift, Glue

? Containerization and Orchestration: Understanding of Docker and Kubernetes, and their implementation within AWS (EKS, ECS)

Skills: Aws, Aws Cloud, Amazon Redshift, Eks

Must-Haves

Aws, Aws Cloud, Amazon Redshift, Eks

NP: Immediate – 30 Days

Job Details

- Job Title: Lead I - Software Engineering - Java, J2Ee, Spring

- Industry: Technology

- Domain - Information technology (IT)

- Experience Required: 6-12 years

- Employment Type: Full Time

- Job Location: Bangalore

- CTC Range: Best in Industry

Job Description:

Role Summary:

We are looking for an experienced Senior Java Developer with expertise in building robust, scalable web applications using Java/J2EE, Spring Boot, REST APIs, and modern microservices architectures. The ideal candidate will be skilled in both back-end and middleware technologies, with strong experience in cloud platforms (AWS), and capable of mentoring junior developers while contributing to high-impact enterprise projects.

The developer will be responsible for full-cycle application development: from interpreting specifications and writing clean, reusable code, to testing, integration, and deployment. You will also work closely with customers and project teams to understand requirements and deliver solutions that optimize cost, performance, and maintainability.

Key Responsibilities:

Application Development & Delivery

• Design, code, debug, test, and document Java-based web applications aligned with design specifications.
• Build scalable and secure microservices using Spring Boot and RESTful APIs.
• Optimize application performance, maintainability, and reusability by using proven design patterns.
• Handle complex data structures and develop multi-threaded, performance-optimized applications.
• Ensure code quality through TDD (JUnit) and best practices.

Cloud & DevOps

• Develop and deploy applications on AWS Cloud Services: EC2, S3, DynamoDB, SNS, SES, etc.
• Leverage containerization tools like Docker and orchestration using Kubernetes.

Integration & Configuration

• Integrate with various databases (PostgreSQL, MySQL, Oracle, NoSQL).
• Configure development environments and CI/CD pipelines as per project needs.
• Follow configuration management processes and ensure compliance.

Testing & Quality Assurance

• Review and create unit test cases, scenarios, and support UAT phases.
• Perform defect root cause analysis (RCA) and proactively implement quality improvements.

Documentation

• Create and review technical documents: HLD, LLD, SAD, user stories, design docs, test cases, and release notes.
• Contribute to project knowledge bases and code repositories.

Team & Project Management

• Mentor team members; conduct code and design reviews.
• Assist Project Manager in effort estimation, planning, and task allocation.
• Set and review FAST goals for yourself and your team; provide regular performance feedback.

Customer Interaction

• Engage with customers to clarify requirements and present technical solutions.
• Conduct product demos and design walkthroughs.
• Interface with customer architects for design finalization.

Key Skills & Tools:

Core Technologies:

• Java/J2EE, Spring Boot, REST APIs
• Object-Oriented Programming (OOP), Design Patterns, Domain-Driven Design (DDD)
• Multithreading, Data Structures, TDD using JUnit

Web & Data Technologies:

• JSON, XML, AJAX, Web Services
• Database Technologies: PostgreSQL, MySQL, Oracle, NoSQL (e.g., DynamoDB)
• Persistence Frameworks: Hibernate, JPA

Cloud & DevOps:

• AWS: S3, EC2, DynamoDB, SNS, SES
• Version Control & Containerization: GitHub, Docker, Kubernetes

Agile & Development Practices:

• Agile methodologies: Scrum or Kanban
• CI/CD concepts
• IDEs: Eclipse, IntelliJ, or equivalent

Expected Outcomes:

• Timely delivery of high-quality code and application components
• Improved performance, cost-efficiency, and maintainability of applications
• High customer satisfaction through accurate requirement translation and delivery
• Team productivity through effective mentoring and collaboration
• Minimal post-production defects and technical issues

Performance Indicators:

• Adherence to coding standards and engineering practices
• On-time project delivery and milestone completion
• Reduction in defect count and issue recurrence
• Knowledge contributions to project and organizational repositories
• Completion of mandatory compliance and technology/domain certifications

Preferred Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field
• Relevant certifications (e.g., AWS Certified Developer, Oracle Certified, Scrum Master)

Soft Skills:

• Strong analytical and problem-solving mindset
• Excellent communication and presentation skills
• Team leadership and mentorship abilities
• High accountability and ability to work under pressure
• Positive team dynamics and proactive collaboration

Skills

Java, J2Ee, Spring

Must-Haves

Java, J2Ee, Spring

Machine Learning + Aws+ (EKS OR ECS OR Kubernetes) + (Redshift AND Glue) + Sagemaker

NP: Immediate – 30 Days

About Corridor Platforms

Corridor Platforms is a leader in next-generation risk decisioning and responsible AI governance, empowering banks and lenders to build transparent, compliant, and data-driven solutions. Our platforms combine advanced analytics, real-time data integration, and GenAI to support complex financial decision workflows for regulated industries.

Role Overview

As a Backend Engineer at Corridor Platforms, you will:

• 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.

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

Why Join Us?

• Cutting-Edge Tech: Work hands-on with the latest AI, cloud-native workflows, and big data tools—all within a single compliant platform.
• End-to-End Impact: Contribute to mission-critical backend systems, from core data models to live production decision services.
• Innovation at Scale: Engineer solutions that process vast data volumes, helping financial institutions innovate safely and effectively.
• Mission-Driven: Join a passionate team advancing fair, transparent, and compliant risk decisioning at the forefront of fintech and AI governance.

What We’re Looking For

• 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.

Ready to build backends that shape the future of decision intelligence and responsible AI?

Apply now and become part of the innovation at Corridor Platforms!

Backend Engineer (MongoDB / API Integrations / AWS / Vectorization)

Position Summary

We are hiring a Backend Engineer with expertise in MongoDB, data vectorization, and advanced AI/LLM integrations. The ideal candidate will have hands-on experience developing backend systems that power intelligent data-driven applications, including robust API integrations with major social media platforms (Meta, Instagram, Facebook, with expansion to TikTok, Snapchat, etc.). In addition, this role requires deep AWS experience (Lambda, S3, EventBridge) to manage serverless workflows, automate cron jobs, and execute both scheduled and manual data pulls. You will collaborate closely with frontend developers and AI engineers to deliver scalable, resilient APIs that power our platform.

Key Responsibilities

• Design, implement, and maintain backend services with MongoDB and scalable data models.
• Build pipelines to vectorize data for retrieval-augmented generation (RAG) and other AI-driven features.
• Develop robust API integrations with major social platforms (Meta, Instagram Graph API, Facebook API; expand to TikTok, Snapchat, etc.).
• Implement and maintain AWS Lambda serverless functions for scalable backend processes.
• Use AWS EventBridge to schedule cron jobs and manage event-driven workflows.
• Leverage AWS S3 for structured and unstructured data storage, retrieval, and processing.
• Build workflows for manual and automated data pulls from external APIs.
• Optimize backend systems for performance, scalability, and reliability at high data volumes.
• Collaborate with frontend engineers to ensure smooth integration into Next.js applications.
• Ensure security, compliance, and best practices in API authentication (OAuth, tokens, etc.).
• Contribute to architecture planning, documentation, and system design reviews.

Required Skills/Qualifications

• Strong expertise with MongoDB (including Atlas) and schema design.
• Experience with data vectorization and embeddings (OpenAI, Pinecone, MongoDB Atlas Vector Search, etc.).
• Proven track record of social media API integrations (Meta, Instagram, Facebook; additional platforms a plus).
• Proficiency in Node.js, Python, or other backend languages for API development.
• Deep understanding of AWS services:
• Lambda for serverless functions.
• S3 for structured/unstructured data storage.
• EventBridge for cron jobs, scheduled tasks, and event-driven workflows.
• Strong understanding of REST and GraphQL API design.
• Experience with data optimization, caching, and large-scale API performance.

Preferred Skills/Experience

• Experience with real-time data pipelines (Kafka, Kinesis, or similar).
• Familiarity with CI/CD pipelines and automated deployments on AWS.
• Knowledge of serverless architecture best practices.
• Background in SaaS platform development or data analytics systems.

ey Responsibilities:

• Design, develop, and maintain microservices using Java (Spring Boot).
• Implement RESTful APIs and ensure integration with front-end and third-party services.
• Work with AWS services such as EC2, ECS, Lambda, S3, RDS, API Gateway, CloudWatch, etc.
• Utilize CI/CD pipelines (Jenkins / GitHub Actions / AWS CodePipeline) for deployment automation.
• Implement security, scalability, and high availability best practices in microservice architecture.
• Collaborate with DevOps, QA, and Product teams to deliver robust solutions.
• Monitor and troubleshoot production issues using AWS CloudWatch / ELK / Prometheus & Grafana.
• Participate in code reviews, design discussions, and agile ceremonies.

Required Skills & Qualifications:

• Strong proficiency in Java 8+, Spring Boot, Spring Cloud, and RESTful APIs.
• Solid understanding of microservices architecture and service discovery / communication patterns (Eureka, Feign, Ribbon, etc.).
• Hands-on experience with AWS Cloud (ECS, Lambda, API Gateway, RDS, DynamoDB, S3, CloudFormation).
• Experience with Docker and Kubernetes for containerization and orchestration.
• Proficient in RDBMS / NoSQL databases (MySQL, PostgreSQL, MongoDB).
• Familiar with CI/CD pipelines, Git, and DevOps best practices.
• Knowledge of message brokers (Kafka, RabbitMQ, SQS) is a plus.
• Strong debugging, problem-solving, and analytical skills.

At BigThinkCode, our technology solves complex problems. We are looking for full-stack engineer to join our Microsoft capability teams at Chennai.

Our ideal candidate will have expert knowledge of software development processes, programming and problem-solving skills. This is an opportunity to join a growing team and make a substantial impact at BigThinkCode.

Please see below our job description, if interested apply / reply by sharing your profile to discuss.

Company: BigThinkCode Technologies

URL: https://www.bigthinkcode.com/

Work location: Chennai (work from office)

Experience: 3 – 4 years

Joining Time: Immediate-3 weeks

Programming Skills Required:

• Proficiency in C#, .NET Core, MVC
• Familiar with Data Structures & Algorithms, Object Oriented Programming basics.
• Hands on Problem Solving and Debugging skills.

Framework Required:

• EF Core
• Experience in OOJS, JavaScript, HTML, CSS, and at least one modern frontend framework like React/ Angular/ Vue.

Deployment And Devops Basics Required:

• Cloud (AWS), Docker
• Good to Have: Azure DevOps

Database Required:

• Relational (SQL Server), NoSQL, ORMs

Benefits

• Medical cover for employee and eligible dependents.
• Tax beneficial salary structure.
• Comprehensive leave policy
• Competency development training programs.

MUST-HAVES:

• LLM, AI, Prompt Engineering LLM Integration & Prompt Engineering
• Context & Knowledge Base Design.
• Context & Knowledge Base Design.
• Experience running LLM evals

NOTICE PERIOD: Immediate – 30 Days

SKILLS: LLM, AI, PROMPT ENGINEERING

NICE TO HAVES:

Data Literacy & Modelling Awareness Familiarity with Databricks, AWS, and ChatGPT Environments

ROLE PROFICIENCY:

Role Scope / Deliverables:

• Scope of Role Serve as the link between business intelligence, data engineering, and AI application teams, ensuring the Large Language Model (LLM) interacts effectively with the modeled dataset.
• Define and curate the context and knowledge base that enables GPT to provide accurate, relevant, and compliant business insights.
• Collaborate with Data Analysts and System SMEs to identify, structure, and tag data elements that feed the LLM environment.
• Design, test, and refine prompt strategies and context frameworks that align GPT outputs with business objectives.
• Conduct evaluation and performance testing (evals) to validate LLM responses for accuracy, completeness, and relevance.
• Partner with IT and governance stakeholders to ensure secure, ethical, and controlled AI behavior within enterprise boundaries.

KEY DELIVERABLES:

• LLM Interaction Design Framework: Documentation of how GPT connects to the modeled dataset, including context injection, prompt templates, and retrieval logic.
• Knowledge Base Configuration: Curated and structured domain knowledge to enable precise and useful GPT responses (e.g., commercial definitions, data context, business rules).
• Evaluation Scripts & Test Results: Defined eval sets, scoring criteria, and output analysis to measure GPT accuracy and quality over time.
• Prompt Library & Usage Guidelines: Standardized prompts and design patterns to ensure consistent business interactions and outcomes.
• AI Performance Dashboard / Reporting: Visualizations or reports summarizing GPT response quality, usage trends, and continuous improvement metrics.
• Governance & Compliance Documentation: Inputs to data security, bias prevention, and responsible AI practices in collaboration with IT and compliance teams.

KEY SKILLS:

Technical & Analytical Skills:

• LLM Integration & Prompt Engineering – Understanding of how GPT models interact with structured and unstructured data to generate business-relevant insights.
• Context & Knowledge Base Design – Skilled in curating, structuring, and managing contextual data to optimize GPT accuracy and reliability.
• Evaluation & Testing Methods – Experience running LLM evals, defining scoring criteria, and assessing model quality across use cases.
• Data Literacy & Modeling Awareness – Familiar with relational and analytical data models to ensure alignment between data structures and AI responses.
• Familiarity with Databricks, AWS, and ChatGPT Environments – Capable of working in cloud-based analytics and AI environments for development, testing, and deployment.
• Scripting & Query Skills (e.g., SQL, Python) – Ability to extract, transform, and validate data for model training and evaluation workflows.
• Business & Collaboration Skills Cross-Functional Collaboration – Works effectively with business, data, and IT teams to align GPT capabilities with business objectives.
• Analytical Thinking & Problem Solving – Evaluates LLM outputs critically, identifies improvement opportunities, and translates findings into actionable refinements.
• Commercial Context Awareness – Understands how sales and marketing intelligence data should be represented and leveraged by GPT.
• Governance & Responsible AI Mindset – Applies enterprise AI standards for data security, privacy, and ethical use.
• Communication & Documentation – Clearly articulates AI logic, context structures, and testing results for both technical and non-technical audiences.

Job Title: Tech Team Lead – Flutter

Department: Engineering

Location: Surat / Ahmedabad (On-site)

Employment Type: Full-time

About the Company

We are an AI-driven nutrition platform built to make healthier eating and living effortless. We translate ingredients and dishes into reliable nutrition profiles, then personalize recommendations based on goals, context, and preferences—across home cooking, daily routines, and restaurant ordering.

Our technology includes Flutter mobile apps, a Python/Django API, real-time data services, and machine learning models for tagging, ranking, and predictions. We’re building a delightful, safe, and scalable experience that helps users choose better meals and track progress—with strong standards for privacy, quality, and performance.

Role Summary

As the Tech Team Lead, you will lead a cross-functional engineering squad (Flutter, Backend, QA, and occasionally Data) to deliver secure, scalable product features on predictable timelines. This role combines hands-on architecture and coding with team leadership, agile execution, and quality ownership.

You’ll mentor engineers, improve engineering practices, and collaborate closely with Product and Design teams to ship impactful, user-centric experiences.

Key Responsibilities

• Own squad roadmap delivery — break down epics into milestones, estimate efforts, prioritize, and ensure timely releases.
• Provide technical leadership — define architecture, enforce coding standards, and guide trade-offs between performance, cost, and complexity.
• Contribute 30–50% hands-on coding — review critical PRs, pair program, and work on key modules.
• Ensure quality and reliability through robust testing (unit/integration/E2E), CI/CD gates, observability, and incident management.
• Mentor and manage 4–8 engineers — conduct 1:1s, set goals, and drive performance and career growth.
• Maintain security and compliance — apply secure development best practices (AuthN/AuthZ, PII handling, secret management).
• Collaborate with Product/Design on scope and acceptance criteria; communicate status, risks, and dependencies effectively.
• Keep technical documentation up to date — architecture decisions, system diagrams, runbooks, and release notes.

Required Qualifications

• 6–9+ years of software engineering experience, with at least 2–3 years in team/squad leadership.
• Strong backend expertise in Python, Django/DRF, REST API design, caching, queues, and WebSockets.
• Working knowledge of Flutter/Dart architecture and state management to lead cross-stack initiatives.
• Experience with CI/CD (GitHub Actions, Fastlane, Codemagic), containers (Docker), and AWS (EC2/ECS/ECR, S3, CloudFront, CloudWatch).
• Strong testing culture using PyTest, Flutter Test, and observability tools (logs, metrics, tracing, alerts).
• Excellent estimation, prioritization, and communication skills, with the ability to challenge scope when necessary.

Preferred (Nice to Have)

• Experience releasing and managing mobile apps (Play Console, App Store Connect, TestFlight).
• Exposure to Data/ML pipelines (batch vs. real-time inference, model versioning).
• Familiarity with security practices — OWASP, IAM, secret management, VPCs.
• Domain experience in health-tech or food-tech, or other privacy-sensitive industries.

Tech Stack You’ll Work With

• Mobile/Web: Flutter (Dart), React (optional)
• Backend: Python, Django/DRF, Celery, Redis, WebSockets
• Data/Storage: PostgreSQL/MySQL, MongoDB
• Infra/DevOps: AWS (EC2/ECS/ECR/S3/CloudFront/CloudWatch), Docker, Nginx, GitHub Actions, Fastlane, Codemagic
• Quality/Observability: PyTest, Flutter Test, Playwright/Cypress, Sentry, Crashlytics, OpenTelemetry (optional)

We are looking for experienced Data Engineers who can independently build, optimize, and manage scalable data pipelines and platforms.

In this role, you’ll:

• Work closely with clients and internal teams to deliver robust data solutions powering analytics, AI/ML, and operational systems.
• Mentor junior engineers and bring engineering discipline into our data engagements.

Key Responsibilities

• Design, build, and optimize large-scale, distributed data pipelines for both batch and streaming use cases.
• Implement scalable data models, warehouses/lakehouses, and data lakes to support analytics and decision-making.
• Collaborate with stakeholders to translate business requirements into technical solutions.
• Drive performance tuning, monitoring, and reliability of data pipelines.
• Write clean, modular, production-ready code with proper documentation and testing.
• Contribute to architectural discussions, tool evaluations, and platform setup.
• Mentor junior engineers and participate in code/design reviews.

Must-Have Skills

• Strong programming skills in Python and advanced SQL expertise.
• Deep understanding of ETL/ELT, data modeling (OLTP & OLAP), warehousing, and stream processing.
• Hands-on with distributed data processing frameworks (Apache Spark, Flink, or similar).
• Experience with orchestration tools like Airflow (or similar).
• Familiarity with CI/CD pipelines and Git.
• Ability to debug, optimize, and scale data pipelines in production.

Good to Have

• Experience with cloud platforms (AWS preferred; GCP/Azure also welcome).
• Exposure to Databricks, dbt, or similar platforms.
• Understanding of data governance, quality frameworks, and observability.
• Certifications (e.g., AWS Data Analytics, Solutions Architect, or Databricks).

Other Expectations

• Comfortable working in fast-paced, client-facing environments.
• Strong analytical and problem-solving skills with attention to detail.
• Ability to adapt across tools, stacks, and business domains.
• Willingness to travel within India for short/medium-term client engagements, as needed.

We’re seeking a highly skilled, execution-focused Senior Backend Engineer with a minimum of 5 years of experience to join our team. This role demands hands-on expertise in building and scaling distributed systems, strong proficiency in Java, and deep knowledge of cloud-native infrastructure. You will be expected to design robust backend services, optimize performance across storage and caching layers, and enable seamless integrations using modern messaging and CI/CD pipelines.

You’ll be working in a high-scale, high-impact environment where reliability, speed, and efficiency are paramount. If you enjoy solving complex engineering challenges and have a passion for distributed systems, this is the right role for you.

Responsibilities:

• Design, develop, and maintain distributed backend systems at scale.
• Write high-performance, production-grade code in Java.
• Architect and optimize storage systems, ensuring efficient query performance and scalable data models.
• Implement caching strategies to reduce latency and improve system throughput.
• Build and manage services leveraging AWS cloud infrastructure.
• Develop resilient messaging pipelines using Kafka (or equivalent) for real-time data processing.
• Define and streamline CI/CD pipelines, ensuring rapid and reliable deployment cycles.
• Collaborate with product managers, frontend engineers, and DevOps to deliver end-to-end solutions.
• Monitor system performance, identify bottlenecks, and apply proactive fixes.
• Drive best practices in software engineering, testing, and code reviews.

Requirements:

• 5+ years of experience in backend engineering, with deep hands-on coding experience.
• Strong proficiency in Java and familiarity with modern frameworks.
• Proven track record in building scalable distributed systems.
• Hands-on expertise with AWS services (e.g., EC2, S3, Lambda, DynamoDB, RDS).
• Solid understanding of messaging systems like Kafka, RabbitMQ, or similar.
• Strong grasp of query performance optimization and storage system design.
• Experience with caching solutions (Redis, Memcached, etc.).
• Familiarity with CI/CD tools (Jenkins, GitHub Actions, GitLab CI, etc.).
• Excellent problem-solving skills and ability to thrive in fast-paced environments.
• Strong communication and collaboration skills, with a proactive mindset.

Benefits:

• Best in class salary: We hire only the best, and we pay accordingly.
• Proximity Talks: Meet other designers, engineers, and product geeks — and learn from experts in the field.
• Keep on learning with a world-class team: Work with the best in the field, challenge yourself constantly, and learn something new every day.

About Us

Proximity is the trusted technology, design, and consulting partner for some of the biggest Sports, Media, and Entertainment companies in the world! We’re headquartered in San Francisco and have offices in Palo Alto, Dubai, Mumbai, and Bangalore. Since 2019, Proximity has created and grown high-impact, scalable products used by 370 million daily users, with a total net worth of $45.7 billion among our client companies.

Today, we are a global team of coders, designers, product managers, geeks, and experts. We solve complex problems and build cutting-edge tech, at scale. Our team of Proxonauts is growing quickly, which means your impact on the company’s success will be huge. You’ll have the chance to work with experienced leaders who have built and led multiple tech, product, and design teams.

To design, develop, and maintain highly scalable, secure, and efficient backend systems that

power core business applications. The Senior Engineer – Backend will be responsible for

architecting APIs, optimizing data flow, and ensuring system reliability and performance. This

role will collaborate closely with frontend, DevOps, and product teams to deliver robust

solutions that enable seamless user experiences and support organizational growth through

clean, maintainable, and well-tested code.

Responsibilities:

• Design, develop, and maintain robust and scalable backend services using Node.js.

• Collaborate with front-end developers and product managers to define and implement

API specifications.

• Optimize application performance and scalability by identifying bottlenecks and

proposing solutions.

• Write clean, maintainable, and efficient code, and conduct code reviews to ensure

quality standards.

• Develop unit tests and maintain code coverage to ensure high quality.

• Document architectural solutions and system designs to ensure clarity and

maintainability.

• Troubleshoot and resolve issues in development, testing, and production environments.

• Stay up to date with emerging technologies and industry trends to continuously improve

our tech stack.

• Mentor and guide junior engineers, fostering a culture of learning and growth.

Key Skills and Qualifications:

• Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent

experience).

• 7+ years of experience in backend development with a focus on Node.js and Javascript.

• Strong understanding of RESTful APIs and microservices architecture.

• Proficiency in database technologies (SQL and NoSQL, such as DynamoDB, MongoDB,

PostgreSQL, etc.).

• Familiarity with containerization and orchestration technologies (Docker, Kubernetes).

• Knowledge of cloud platform (AWS) and deployment best practices.

• Excellent problem-solving skills and the ability to work in a fast-paced environment.

• Strong communication and teamwork skills.

Good to have:

• Experience with front-end frameworks (e.g. Angular, React, Vue.js).

• Understanding of HTML, CSS, and JavaScript.

• Familiarity with responsive design and user experience principles.

Job Title : Technical Team Lead – Engineering Delivery

Experience : 6+ Years

Level : Senior Individual Contributor (Level 1)

Location : Surat / Ahmedabad (On-site)

Employment Type : Full-time

About the Role :

We’re looking for an experienced Technical Team Lead – Engineering Delivery to guide a cross-functional engineering squad comprising Flutter, Backend, QA, and occasionally Data engineers. This position combines hands-on software development with leadership, architecture, and Agile delivery ownership.

Required Qualifications :

• 6 to 9+ years of software engineering experience, with at least 2 to 3 years in a team or squad leadership role.
• Strong backend development expertise in Python, Django/DRF, REST API design, caching, queues, and WebSockets.
• Working knowledge of Flutter/Dart architecture and patterns (state management, navigation).
• Experience with CI/CD (GitHub Actions, Fastlane/Codemagic), containers (Docker), and AWS (EC2/ECS/ECR, S3, CloudFront, CloudWatch).
• Solid testing and observability practices using PyTest, Flutter tests, logs, metrics, traces, and alerts.
• Excellent skills in estimation, prioritization, and communication.

Preferred Skills (Nice to Have) :

• Experience releasing and managing mobile apps (Play Console, App Store Connect, TestFlight).
• Familiarity with Data/ML delivery pipelines (batch vs real-time inference, model rollout/versioning).
• Understanding of security frameworks such as OWASP, secret management, IAM, and VPC basics.
• Prior experience in health-tech, food-tech, or other privacy-sensitive domains.

Tech Stack You’ll Work With :

• Mobile/Web : Flutter (Dart), React (optional)
• Backend : Python, Django/DRF, Celery, Redis, WebSockets
• Data/Storage : PostgreSQL/MySQL, MongoDB
• Infra/DevOps : AWS (EC2/ECS/ECR/S3/CloudFront/CloudWatch), Docker, Nginx, GitHub Actions, Fastlane/Codemagic
• Quality/Observability : PyTest, Flutter Test, Playwright/Cypress, Sentry/Crashlytics, OpenTelemetry

Who we are: My AI Client is building the foundational platform for the "agentic economy," moving beyond simple chatbots to create an ecosystem for autonomous AI agents and they aim to provide tools for developers to launch, manage, and monetize AI agents as "digital coworkers."

The Challenge

The current AI stack is fragmented, leading to issues with multimodal data, silent webhook failures, unpredictable token usage, and nascent agent-to-agent collaboration. My AI Client is building a unified, robust backend to resolve these issues for the developer community.

Your Mission

As a foundational member of the backend team, you will architect core systems, focusing on:

• Agent Nervous System: Designing agent-to-agent messaging, lifecycle management, and high-concurrency, low-latency communication.
• Multimodal Chaos Taming: Engineering systems to process and understand real-time images, audio, video, and text.
• Bulletproof Systems: Developing secure, observable webhook systems with robust billing, metering, and real-time payment pipelines.

What You'll Bring

• My AI Client seeks an experienced engineer comfortable with complex systems and ambiguity.

Core Experience:

● Typically 3 to 5 years of experience in backend engineering roles.

● Expertise in Python, especially with async frameworks like FastAPI.

● Strong command of Docker and cloud deployment (AWS, Cloud Run, or similar).

● Proven experience designing and building microservice or agent-based architectures.

Specialized Experience (Ideal):

• Real-Time Systems: Experience with real-time media transmission like WebRTC, WebSockets and ways to process them.
• Scalable Systems: Experience in building scalable, fault-tolerant systems with a strong understanding of observability, monitoring, and alerting best practices.
• Reliable Webhooks: Knowledge of scalable webhook infrastructure with retry logic, backoffs, and security.
• Data Processing: Experience with multimodal data (e.g., OCR, audio transcription, video chunking with FFmpeg/OpenCV).
• Payments & Metering: Familiarity with usage-based billing systems or token-based ledgers.

Your Impact

• The systems designed by this role will form the foundation for:
• Thousands of AI agents for major partners across chat, video, and APIs.
• A new creator economy enabling developers to earn revenue through agents.
• The overall speed, security, and scalability of my client’s AI platform.

Why Join Us?

• Opportunity to solve hard problems with clean, scalable code.
• Small, fast-paced team with high ownership and zero micromanagement.
• Belief in platform engineering as a craft and care for developer experience.
• Conviction that AI agents are the future, and a desire to build their powering platform.
• Dynamic, collaborative in-office work environment in Bengaluru in a Hybrid setup (weekly 2 days from office)
• Meaningful equity in a growing, well-backed company.
• Direct work with founders and engineers from top AI companies.
• A real voice in architectural and product decisions.
• Opportunity to solve cutting-edge problems with no legacy code.

Ready to Build the Future?

My AI Client is building the core platform for the next software paradigm. Interested candidates are encouraged to apply with their GitHub, resume, or anything that showcases their thinking.

Company Overview

MedExpert, Chennai is a pioneering healthcare consulting firm specializing in US Medical Billing and Revenue Cycle Management (RCM) solutions tailored for healthcare providers and Emergency Medical Services (EMS) organizations.

Since its inception in 2023, MedExpert has rapidly grown into a team of over 620 experts who are passionate about transforming the healthcare industry through technology-driven solutions. With our focus on client success and operational efficiency, we empower healthcare providers to streamline billing processes, optimize revenue, and maintain their focus on quality patient care.

We pride ourselves on fostering a collaborative and growth-oriented work environment where every team member is empowered to contribute to projects that shape the future. Our culture champions Agile principles and is dedicated to high performance, continuous learning, and technological advancement.

We are seeking a dedicated and experienced Backend Developer to join our team. This role is integral to helping our development teams maintain agility, productivity, and the highest standards in delivering solutions to meet our client’s evolving needs.

About the role

We are seeking a talented Backend Developer to join our growing team. The ideal candidate must have solid working experience with .NET Core, ASP.NET Core, and AWS cloud technologies, and will collaborate with cross-functional teams in an Agile environment to deliver high-quality backend solutions.

Roles and Responsibilities

• Develop and maintain backend solutions using .NET Core and ASP.NET Core with a focus on AWS cloud infrastructure and services.
• Collaborate within an Agile team environment, working closely with developers, technical leads, solution architects, QA, and product owners.
• Design, develop, and optimize REST APIs, microservices, and backend architectures that support business and application needs.
• Ensure high performance, scalability, and security standards in all backend development tasks.

Required Skills and Qualifications

Technical Skills:

• Strong proficiency in C# and .NET Core with ASP.NET Core (minimum 5 years of experience).
• Solid experience (5+ years) with Entity Framework and relational databases.
• Working proficiency with SQL and experience in database management (MS SQL Server, MySQL, PostgreSQL).
• Hands-on experience working with AWS cloud services.
• Strong understanding of microservices, event-driven architectures, REST APIs, and web services.
• Familiarity with DevOps pipelines and CI/CD processes.
• Experience with Docker containers and unit testing frameworks.

Development Stack:

• Languages/Frameworks: C#, .NET Core with ASP.NET Core, SQL query, etc.
• Tools: Visual Studio Code or equivalent IDEs, Git version control, JIRA, and Confluence.
• Database: MS SQL Server, MySQL, PostgreSQL.

Non-Functional Requirements:

• Understanding of SLA, uptime, performance optimization, security, cloud infrastructure, and CI/CD practices.

Soft Skills:

• Excellent problem-solving skills and strong written and verbal communication skills.

Preferred Skills and Qualifications

• Hands-on working knowledge of Angular, PHP, and Yii frameworks.
• Familiarity with frontend development: HTML, CSS, JavaScript, JSON, XML, JavaScript frameworks, PHP web frameworks, and Bootstrap.

Why Join Us?

At MedExpert, you will have the opportunity to make an impact by shaping Agile practices and driving project success. We provide an environment where innovation, collaboration, and personal growth are at the forefront.

Joining MedExpert Billing and Consulting gives you an opportunity to become a vital contributor to the formation of a positive and supportive work environment, where your expertise and dedication will make a difference — not just within our team but across the Emergency Medical Services industry.

Very few people get a chance to be on the ground and help shape the local culture and community of an organization like joining MedExpert Billing and Consulting providers.

Like us, you'll be deeply committed to delivering impactful outcomes for customers.

• 7+ years of demonstrated ability to develop resilient, high-performance, and scalable code tailored to application usage demands.
• Ability to lead by example with hands-on development while managing project timelines and deliverables. Experience in agile methodologies and practices, including sprint planning and execution, to drive team performance and project success.
• Deep expertise in Node.js, with experience in building and maintaining complex, production-grade RESTful APIs and backend services.
• Experience writing batch/cron jobs using Python and Shell scripting.
• Experience in web application development using JavaScript and JavaScript libraries.
• Have a basic understanding of Typescript, JavaScript, HTML, CSS, JSON and REST based applications.
• Experience/Familiarity with RDBMS and NoSQL Database technologies like MySQL, MongoDB, Redis, ElasticSearch and other similar databases.
• Understanding of code versioning tools such as Git.
• Understanding of building applications deployed on the cloud using Google cloud platform(GCP)or Amazon Web Services (AWS)
• Experienced in JS-based build/Package tools like Grunt, Gulp, Bower, Webpack.

Key Responsibilities:

1. Application Development: Design and implement both client-side and server-side architecture using JavaScript frameworks and back-end technologies like Golang.
2. Database Management: Develop and maintain relational and non-relational databases (MySQL, PostgreSQL, MongoDB) and optimize database queries and schema design.
3. API Development: Build and maintain RESTfuI APIs and/or GraphQL services to integrate with front-end applications and third-party services.
4. Code Quality & Performance: Write clean, maintainable code and implement best practices for scalability, performance, and security.
5. Testing & Debugging: Perform testing and debugging to ensure the stability and reliability of applications across different environments and devices.
6. Collaboration: Work closely with product managers, designers, and DevOps engineers to deliver features aligned with business goals.
7. Documentation: Create and maintain documentation for code, systems, and application architecture to ensure knowledge transfer and team alignment.

Requirements:

1. Experience: 1+ years in backend development in micro-services ecosystem, with proven experience in front-end and back-end frameworks.
2. 1+ years experience Golang is mandatory
3. Problem-Solving & DSA: Strong analytical skills and attention to detail.
4. Front-End Skills: Proficiency in JavaScript and modern front-end frameworks (React, Angular, Vue.js) and familiarity with HTML/CSS.
5. Back-End Skills: Experience with server-side languages and frameworks like Node.js, Express, Python or GoLang.
6. Database Knowledge: Strong knowledge of relational databases (MySQL, PostgreSQL) and NoSQL databases (MongoDB).
7. API Development: Hands-on experience with RESTfuI API design and integration, with a plus for GraphQL.
8. DevOps Understanding: Familiarity with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes) is a bonus.
9. Soft Skills: Excellent problem-solving skills, teamwork, and strong communication abilities.

Nice-to-Have:

1. UI/UX Sensibility: Understanding of responsive design and user experience principles.
2. CI/CD Knowledge: Familiarity with CI/CD tools and workflows (Jenkins, GitLab CI).
3. Security Awareness: Basic understanding of web security standards and best practices.

Job Role

The role is for an SAP UI5 Consultant responsible for developing and enhancing web applications using SAP UI5 and related technologies.

Responsibilities

1. Develop Fiori-like web applications based on SAPUI5.
2. Implement REST Web services and enhancements to SAP Fiori apps.
3. Work with Web Technologies including HTML5, CSS3, and JavaScript.
4. Participate in knowledge transfers and evaluate new technologies.
5. Understand and implement software architecture for enterprise applications.

Qualifications

The candidate should have a BA/BE/BTech qualification with excellent verbal and written communication skills in English. Ability to work flexible hours is necessary.

We are looking for a skilled Backend Developer with strong experience in building, scaling, and optimizing server-side systems. The ideal candidate is proficient in Node.js, FastAPI (Python), and database design, with hands-on experience in cloud infrastructure on AWS or GCP.

Responsibilities:

Design, develop, and maintain scalable backend services and APIs using Node.js and FastAPI

Build robust data models and optimize performance for SQL and NoSQL databases

Architect and deploy backend services on GCP/AWS, leveraging managed cloud services. 

Implement clean, modular, and testable code with proper CI/CD and observability (logs, metrics, alerts)

Ensure system reliability, security, and high availability for production environments

Requirements:

2–5 years of backend development experience

Strong proficiency in Node.js, FastAPI, REST APIs, and microservice architecture

Solid understanding of PostgreSQL/MySQL, MongoDB/Redis or similar NoSQL systems

Hands-on experience with AWS or GCP, Docker, and modern DevOps workflows

Experience with caching, queueing, authentication, and API performance optimization

Good to Have:

Experience with event-driven architecture, WebSockets, or serverless functions

Familiarity with Kubernetes or Terraform

Job Location: Gurugram, Haryana, India

Industry: Artificial Intelligence