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About the Role  

We are seeking an experienced Next.js Developer with minimum 6 years of hands-on experience to join our development team. The ideal candidate will have a strong background in architecting scalable applications, deploying projects, and writing robust test cases. You will play a key role in the full software development lifecycle, from initial concept and architecture through deployment and maintenance.  

Key Responsibilities  

·       Design, develop, and maintain high-performance, scalable web applications using Next.js  

·       Architect project structure for maintainability, scalability, and performance, following best practices for folder and component organization  

·       Lea d and participate in project deployments using modern CI/CD pipelines and cloud platforms. AWS is must  

·       Write comprehensive unit, integration, and end-to-end test cases using frameworks like Jest, React Testing Library, or Cypress  

·       Collaborate with cross-functional teams (designers, backend developers, product managers) to deliver seamless user experiences and integrate APIs (REST/GraphQL)  

·       Optimize applications for SEO, server-side rendering (SSR), static site generation (SSG), and performance  

·       Conduct code reviews, enforce coding standards, and mentor junior developers  

·       Troubleshoot, debug, and resolve issues across the stack to ensure reliability and security  

·       Maintain technical documentation, including architecture decisions, deployment guides, and test plans  

  Required Skills and Qualifications  

·       Development experience of 6+ years in Reactjs and Nextjs (preferred)  

·       Proven expertise in Leading, architecting and organizing large-scale Nextjs projects.  

·       Hands-on experience with project deployment and cloud platform as AWS (preferred)  

·       Strong proficiency in JavaScript (ES6+), TypeScript, MaterialUI and CSS Frameworks  

·       Experience writing and maintaining test cases using Jest, React Testing Library, Cypress, or similar tools  

·       Familiarity with state management libraries (Redux, Context API) and API integration (REST, GraphQL)  

·       Working knowledge of version control systems (Git) and CI/CD pipelines (preferred)  

·       Solid understanding of SSR, SSG, and SEO best practices  

·       Excellent problem-solving, communication, and teamwork skills  

·       Bachelor’s degree in Computer Science, Information Technology, or a related field (preferred)  

Nice to Have  

·       Experience with CSS frameworks (Tailwind, Bootstrap, Sass)  

·       Familiarity with containerization (Docker) and monitoring tools.  

·       Contributions to open-source Next.js projects or technical blogs.  

About the Role  

We are seeking an experienced Next.js Developer with minimum 6 years of hands-on experience to join our development team. The ideal candidate will have a strong background in architecting scalable applications, deploying projects, and writing robust test cases. You will play a key role in the full software development lifecycle, from initial concept and architecture through deployment and maintenance.  

Key Responsibilities  

·       Design, develop, and maintain high-performance, scalable web applications using Next.js  

·       Architect project structure for maintainability, scalability, and performance, following best practices for folder and component organization  

·       Lea d and participate in project deployments using modern CI/CD pipelines and cloud platforms. AWS is must  

·       Write comprehensive unit, integration, and end-to-end test cases using frameworks like Jest, React Testing Library, or Cypress  

·       Collaborate with cross-functional teams (designers, backend developers, product managers) to deliver seamless user experiences and integrate APIs (REST/GraphQL)  

·       Optimize applications for SEO, server-side rendering (SSR), static site generation (SSG), and performance  

·       Conduct code reviews, enforce coding standards, and mentor junior developers  

·       Troubleshoot, debug, and resolve issues across the stack to ensure reliability and security  

·       Maintain technical documentation, including architecture decisions, deployment guides, and test plans  

  Required Skills and Qualifications  

·       Development experience of 6+ years in Reactjs and Nextjs (preferred)  

·       Proven expertise in Leading, architecting and organizing large-scale Nextjs projects.  

·       Hands-on experience with project deployment and cloud platform as AWS (preferred)  

·       Strong proficiency in JavaScript (ES6+), TypeScript, MaterialUI and CSS Frameworks  

·       Experience writing and maintaining test cases using Jest, React Testing Library, Cypress, or similar tools  

·       Familiarity with state management libraries (Redux, Context API) and API integration (REST, GraphQL)  

·       Working knowledge of version control systems (Git) and CI/CD pipelines (preferred)  

·       Solid understanding of SSR, SSG, and SEO best practices  

·       Excellent problem-solving, communication, and teamwork skills  

·       Bachelor’s degree in Computer Science, Information Technology, or a related field (preferred)  

Nice to Have  

·       Experience with CSS frameworks (Tailwind, Bootstrap, Sass)  

·       Familiarity with containerization (Docker) and monitoring tools.  

·       Contributions to open-source Next.js projects or technical blogs.  

We’re building a suite of SaaS products for WordPress professionals—each with a clear product-market fit and the potential to become a $100M+ business. As we grow, we need engineers who go beyond feature delivery. We’re looking for someone who wants to build enduring systems, make practical decisions, and help us ship great products with high velocity.

What You’ll Do

• Work with product, design, and support teams to turn real customer problems into thoughtful, scalable solutions.
• Design and build robust backend systems, services, and APIs that prioritize long-term maintainability and performance.
• Use AI-assisted tooling (where appropriate) to explore solution trees, accelerate development, and reduce toil.
• Improve velocity across the team by building reusable tools, abstractions, and internal workflows—not just shipping isolated features.
• Dig into problems deeply—whether it's debugging a performance issue, streamlining a process, or questioning a product assumption.
• Document your decisions clearly and communicate trade-offs with both technical and non-technical stakeholders.

What Makes You a Strong Fit

• You’ve built and maintained real-world software systems, ideally at meaningful scale or complexity.
• You think in systems and second-order effects—not just in ticket-by-ticket outputs.
• You prefer well-reasoned defaults over overengineering.
• You take ownership—not just of code, but of the outcomes it enables.
• You work cleanly, write clear code, and make life easier for those who come after you.
• You’re curious about the why, not just the what—and you’re comfortable contributing to product discussions.

Bonus if You Have Experience With

• Building tools or workflows that accelerate other developers.
• Working with AI coding tools and integrating them meaningfully into your workflow.
• Building for SaaS products, especially those with large user bases or self-serve motions.
• Working in small, fast-moving product teams with a high bar for ownership.

Why Join Us

• A small team that values craftsmanship, curiosity, and momentum.
• A product-driven culture where engineering decisions are informed by customer outcomes.
• A chance to work on multiple zero-to-one opportunities with strong PMF.
• No vanity perks—just meaningful work with people who care.

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.

SENIOR DATA ENGINEER:

ROLE SUMMARY:

Own the design and delivery of petabyte-scale data platforms and pipelines across AWS and modern Lakehouse stacks. You’ll architect, code, test, optimize, and operate ingestion, transformation, storage, and serving layers. This role requires autonomy, strong engineering judgment, and partnership with project managers, infrastructure teams, testers, and customer architects to land secure, cost-efficient, and high-performing solutions.

RESPONSIBILITIES:

• Architecture and design: Create HLD/LLD/SAD, source–target mappings, data contracts, and optimal designs aligned to requirements.
• Pipeline development: Build and test robust ETL/ELT for batch, micro-batch, and streaming across RDBMS, flat files, APIs, and event sources.
• Performance and cost tuning: Profile and optimize jobs, right-size infrastructure, and model license/compute/storage costs.
• Data modeling and storage: Design schemas and SCD strategies; manage relational, NoSQL, data lakes, Delta Lakes, and Lakehouse tables.
• DevOps and release: Establish coding standards, templates, CI/CD, configuration management, and monitored release processes.
• Quality and reliability: Define DQ rules and lineage; implement SLA tracking, failure detection, RCA, and proactive defect mitigation.
• Security and governance: Enforce IAM best practices, retention, audit/compliance; implement PII detection and masking.
• Orchestration: Schedule and govern pipelines with Airflow and serverless event-driven patterns.
• Stakeholder collaboration: Clarify requirements, present design options, conduct demos, and finalize architectures with customer teams.
• Leadership: Mentor engineers, set FAST goals, drive upskilling and certifications, and support module delivery and sprint planning.

REQUIRED QUALIFICATIONS:

• Experience: 15+ years designing distributed systems at petabyte scale; 10+ years building data lakes and multi-source ingestion.
•  Cloud (AWS): IAM, VPC, EC2, EKS/ECS, S3, RDS, DMS, Lambda, CloudWatch, CloudFormation, CloudTrail.
• Programming: Python (preferred), PySpark, SQL for analytics, window functions, and performance tuning.
• ETL tools: AWS Glue, Informatica, Databricks, GCP DataProc; orchestration with Airflow.
• Lakehouse/warehousing: Snowflake, BigQuery, Delta Lake/Lakehouse; schema design, partitioning, clustering, performance optimization.
• DevOps/IaC: Terraform with 15+ years of practice; CI/CD (GitHub Actions, Jenkins) with 10+ years; config governance and release management.
• Serverless and events: Design event-driven distributed systems on AWS.
• NoSQL: 2–3 years with DocumentDB including data modeling and performance considerations.
• AI services: AWS Entity Resolution, AWS Comprehend; run custom LLMs on Amazon SageMaker; use LLMs for PII classification.

NICE-TO-HAVE QUALIFICATIONS:

• Data governance automation: 10+ years defining audit, compliance, retention standards and automating governance workflows.
• Table and file formats: Apache Parquet; Apache Iceberg as analytical table format.
• Advanced LLM workflows: RAG and agentic patterns over proprietary data; re-ranking with index/vector store results.
• Multi-cloud exposure: Azure ADF/ADLS, GCP Dataflow/DataProc; FinOps practices for cross-cloud cost control.

OUTCOMES AND MEASURES:

• Engineering excellence: Adherence to processes, standards, and SLAs; reduced defects and non-compliance; fewer recurring issues.
• Efficiency: Faster run times and lower resource consumption with documented cost models and performance baselines.
• Operational reliability: Faster detection, response, and resolution of failures; quick turnaround on production bugs; strong release success.
• Data quality and security: High DQ pass rates, robust lineage, minimal security incidents, and audit readiness.
• Team and customer impact: On-time milestones, clear communication, effective demos, improved satisfaction, and completed certifications/training.

LOCATION AND SCHEDULE:

●      Location: Outside US (OUS).

●      Schedule: Minimum 6 hours of overlap with US time zones.

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)

Position Overview

We are seeking an experienced Solutions Architect to lead the technical design and implementation strategy for our finance automation platform. This role sits at the intersection of business requirements, technical architecture, and implementation excellence. You will be responsible for translating complex Statement of Work (SOW) requirements into comprehensive technical designs while mentoring implementation engineers and driving platform evolution.

Key Responsibilities

Solution Design & Architecture

1. Translate SOW requirements into detailed C4 architecture models and Business Process Canvas documentation

2. Design end-to-end solutions for complex finance automation workflows including reconciliations, book closure, and financial reporting

3. Create comprehensive technical specifications for custom development initiatives

4. Establish architectural standards and best practices for finance domain solutions

Technical Leadership & Mentorship

1. Mentor Implementation Engineers on solution design, technical approaches, and best practices

2. Lead technical reviews and ensure solution quality across all implementations

3. Provide guidance on complex technical challenges and architectural decisions

4. Foster knowledge sharing and technical excellence within the solutions team

Platform Strategy & Development

1. Make strategic decisions on when to push feature development to the Platform Team vs. custom implementation

2. Interface with Implementation Support team to assess platform gaps and enhancement opportunities

3. Collaborate with Program Managers to track and prioritize new platform feature development

4. Contribute to product roadmap discussions based on client requirements and market trends

Client Engagement & Delivery

1. Lead technical discussions with enterprise clients during pre-sales and implementation phases

2. Design scalable solutions that align with client's existing technology stack and future roadmap

3. Ensure solutions comply with financial regulations (Ind AS/IFRS/GAAP) and industry standards

4. Drive technical aspects of complex implementations from design through go-live

Required Qualifications

Technical Expertise

● 8+ years of experience in solution architecture, preferably in fintech or enterprise software

● Strong expertise in system integration, API design, and microservices architecture

● Proficiency in C4 modeling and architectural documentation standards

● Experience with Business Process Management (BPM) and workflow design

● Advanced knowledge of data architecture, ETL pipelines, and real-time data processing

● Strong programming skills in Python, Java, or similar languages

● Experience with cloud platforms (AWS, Azure, GCP) and containerization technologies.

Financial Domain Knowledge

● Deep understanding of finance and accounting principles (Ind AS/IFRS/GAAP)

● Experience with financial systems integration (ERP, GL, AP/AR systems)

● Knowledge of financial reconciliation processes and automation strategies

● Understanding of regulatory compliance requirements in financial services

Leadership & Communication

● Proven experience mentoring technical teams and driving technical excellence

● Strong stakeholder management skills with ability to communicate with C-level executives

● Experience working in agile environments with cross-functional teams

● Excellent technical documentation and presentation skills

Preferred Qualifications

● Master's degree in Computer Science, Engineering, or related technical field

● Experience with finance automation platforms (Blackline, Trintech, Anaplan, etc.)

● Certification in enterprise architecture frameworks (TOGAF, Zachman)

● Experience with data visualization tools (Power BI, Tableau, Looker)

● Background in SaaS platform development and multi-tenant architectures

● Experience with DevOps practices and CI/CD pipeline design

● Knowledge of machine learning applications in finance automation.

Skills & Competencies

Technical Skills

● Solution architecture and system design

● C4 modeling and architectural documentation

● API design and integration patterns

● Cloud-native architecture and microservices

● Data architecture and pipeline design

● Programming and scripting languages

Financial & Business Skills

● Financial process automation

● Business process modeling and optimization

● Regulatory compliance and risk management

● Enterprise software implementation

● Change management and digital transformation

Leadership Skills

● Technical mentorship and team development

● Strategic thinking and decision making

● Cross-functional collaboration

● Client relationship management

● Project and program management

Soft Skills

● Critical thinking and problem-solving

● Cross-functional collaboration

● Task and project management

● Stakeholder management

● Team leadership

● Technical documentation

● Communication with technical and non-technical stakeholders

Mandatory Criteria:  

● Looking for candidates who are Solution Architects in Finance from Product Companies.

● The candidate should have worked in Fintech for at least 4–5 years.

● Candidate should have Strong Technical and Architecture skills with Finance Exposure.

● Candidate should be from Product companies.

● Candidate should have 8+ years’ experience in solution architecture, preferably in fintech or enterprise software.

● Candidate should have Proficiency in Python, Java (or similar languages) and hands-on with cloud platforms (AWS/Azure/GCP) & containerization (Docker/Kubernetes).

● Candidate should have Deep knowledge of finance & accounting principles (Ind AS/IFRS/GAAP) and financial system integrations (ERP, GL, AP/AR).

● Candidate should have Expertise in system integration, API design, microservices, and C4 modeling.

● Candidate should have Experience in financial reconciliations, automation strategies, and regulatory compliance.

● Candidate should be Strong in problem-solving, cross-functional collaboration, project management, documentation, and communication.

● Candidate should have Proven experience in mentoring technical teams and driving excellence.

Job Title- Senior Java Developer

Required Experience- 8-10 years

Location- Bangalore-Hybrid

Desired Skills- Java, microservices, Docker, Kubernetes

Good to Have - Kotlin, Kafka

Job Type- Full time

Your key responsibilities:

● Build systems to add features across our messaging platform

● Create scalable microservices that will help support our impressive growth

● Propose scalable, maintainable and cost-effective solutions

● Estimate the effort required to develop and implement new features

● Develop and execute effective testing strategies, including unit tests, integration tests,

and end-to-end tests, to ensure software quality and reliability

● Collaborate with cross-functional teams to ensure seamless integration and functionality.

What you’ll bring

Required:

● Excellent software engineering skills in Java for backend services

● A strong focus on testing, with a customer-first mindset

● Experience with multi-threaded architectures, web services, caching, and event-driven

pipelines.

● Practical experience in deploying code in a modern programming environment using

tools such as Docker and Kubernetes

● Strong emphasis on testing and familiarity with Object-Oriented Design and design

patterns.

Job Title: PySpark/Scala Developer

Functional Skills: Experience in Credit Risk/Regulatory risk domain

Technical Skills: Spark ,PySpark, Python, Hive, Scala, MapReduce, Unix shell scripting

Good to Have Skills: Exposure to Machine Learning Techniques

Job Description:

5+ Years of experience with Developing/Fine tuning and implementing programs/applications

Using Python/PySpark/Scala on Big Data/Hadoop Platform.

Roles and Responsibilities:

a)     Work with a Leading Bank’s Risk Management team on specific projects/requirements pertaining to risk Models in

 consumer and wholesale banking

b)     Enhance Machine Learning Models using PySpark or Scala

c)     Work with Data Scientists to Build ML Models based on Business Requirements and Follow ML Cycle to Deploy them all

the way to Production Environment

d)     Participate Feature Engineering, Training Models, Scoring and retraining

e)     Architect Data Pipeline and Automate Data Ingestion and Model Jobs

Skills and competencies:

Required:

·       Strong analytical skills in conducting sophisticated statistical analysis using bureau/vendor data, customer performance

Data and macro-economic data to solve business problems.

·       Working experience in languages PySpark & Scala to develop code to validate and implement models and codes in

Credit Risk/Banking

·       Experience with distributed systems such as Hadoop/MapReduce, Spark, streaming data processing, cloud architecture.

• Familiarity with machine learning frameworks and libraries (like scikit-learn, SparkML, tensorflow, pytorch etc.
• Experience in systems integration, web services, batch processing
• Experience in migrating codes to PySpark/Scala is big Plus
• The ability to act as liaison conveying information needs of the business to IT and data constraints to the business

applies equal conveyance regarding business strategy and IT strategy, business processes and work flow

·       Flexibility in approach and thought process

·       Attitude to learn and comprehend the periodical changes in the regulatory requirement as per FED

About the Role

We are looking for a hands-on and solution-oriented Senior Data Scientist – Generative AI to join our growing AI practice. This role is ideal for someone who thrives in designing and deploying Gen AI solutions on AWS, enjoys working with customers directly, and can lead end-to-end implementations. You will play a key role in architecting AI solutions, driving project delivery, and guiding junior team members.

Key Responsibilities

• Design and implement end-to-end Generative AI solutions for customers on AWS.
• Work closely with customers to understand business challenges and translate them into Gen AI use-cases.
• Own technical delivery, including data preparation, model integration, prompt engineering, deployment, and performance monitoring.
• Lead project execution – ensure timelines, manage stakeholder communications, and collaborate across internal teams.
• Provide technical guidance and mentorship to junior data scientists and engineers.
• Develop reusable components and reference architectures to accelerate delivery.
• Stay updated with latest developments in Gen AI, particularly AWS offerings like Bedrock, SageMaker, LangChain integrations, etc.

Required Skills & Experience

• 4–8 years of hands-on experience in Data Science/AI/ML, with at least 2–3 years in Generative AI projects.
• Proficient in building solutions using AWS AI/ML services (e.g., SageMaker, Amazon Bedrock, Lambda, API Gateway, S3, etc.).
• Experience with LLMs, prompt engineering, RAG pipelines, and deployment best practices.
• Solid programming experience in Python, with exposure to libraries such as Hugging Face, LangChain, etc.
• Strong problem-solving skills and ability to work independently in customer-facing roles.
• Experience in collaborating with Systems Integrators (SIs) or working with startups in India is a major plus.

Soft Skills

• Strong verbal and written communication for effective customer engagement.
• Ability to lead discussions, manage project milestones, and coordinate across stakeholders.
• Team-oriented with a proactive attitude and strong ownership mindset.

What We Offer

• Opportunity to work on cutting-edge Generative AI projects across industries.
• Collaborative, startup-like work environment with flexibility and ownership.
• Exposure to full-stack AI/ML project lifecycle and client-facing roles.
• Competitive compensation and learning opportunities in the AWS AI ecosystem.

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 a skilled and motivated Backend Engineer with 2 to 4 years of professional experience to join our dynamic engineering team. You will play a key role in designing, building, and maintaining the backend systems that power our products. You’ll work closely with cross-functional teams to deliver scalable, secure, and high-performance solutions that align with business and user needs.

This role is ideal for engineers ready to take ownership of systems, contribute to architectural decisions, and solve complex backend challenges.

Website: https://www.thealteroffice.com/about

Key Responsibilities:

• Design, build, and maintain robust backend systems and APIs that are scalable and maintainable.
• Collaborate with product, frontend, and DevOps teams to deliver seamless, end-to-end solutions.
• Model and manage data using SQL (e.g., MySQL, PostgreSQL) and NoSQL databases (e.g., MongoDB, Redis), incorporating caching where needed.
• Implement and manage authentication, authorization, and data security practices.
• Write clean, well-documented, and well-tested code following best practices.
• Work with cloud platforms (AWS, GCP, or Azure) to deploy, monitor, and scale services effectively.
• Use tools like Docker (and optionally Kubernetes) for containerization and orchestration of backend services.
• Maintain and improve CI/CD pipelines for faster and safer deployments.
• Monitor and debug production issues, using observability tools (e.g., Prometheus, Grafana, ELK) for root cause analysis.
• Participate in code reviews, contribute to improving development standards, and provide support to less experienced engineers.
• Work with event-driven or microservices-based architecture, and optionally use technologies like GraphQL, WebSockets, or message brokers such as Kafka or RabbitMQ when suitable for the solution.

Requirements:

• 2 to 4 years of professional experience as a Backend Engineer or similar role.
• Proficiency in at least one backend programming language (e.g., Python, Java, Go, Ruby, etc.).
• Strong understanding of RESTful API design, asynchronous programming, and scalable architecture patterns.
• Solid experience with both relational and NoSQL databases, including designing and optimizing data models.
• Familiarity with Docker, Git, and modern CI/CD workflows.
• Hands-on experience with cloud infrastructure and deployment processes (AWS, GCP, or Azure).
• Exposure to monitoring, logging, and performance profiling practices in production environments.
• A good understanding of security best practices in backend systems.
• Strong problem-solving, debugging, and communication skills.
• Comfortable working in a fast-paced, agile environment with evolving priorities.

Job Title: Associate Backend Engineer

Job Summary:

We are looking for an enthusiastic and motivated Associate Backend Engineer with 1 to 2 years of experience to join our growing engineering team. Whether you're a recent graduate or have some industry experience, this role offers a strong foundation to grow your skills in real-world backend development. You’ll work closely with experienced engineers and contribute to the design, development, and maintenance of scalable backend systems that power our products.

This position is ideal for individuals who are eager to learn, write production-grade code, and grow into a high-performing backend engineer.

Website: https://www.thealteroffice.com/about

Key Responsibilities:

• Assist in building and maintaining backend services and APIs for web and mobile applications.
• Work with both relational (MySQL, PostgreSQL) and NoSQL (MongoDB, Redis) databases for data modeling and storage.
• Write clean, maintainable, and well-documented code under guidance.
• Contribute to authentication, authorization, and other core backend features.
• Collaborate with cross-functional teams including product, frontend, and QA to deliver complete features.
• Participate in code reviews and incorporate feedback to improve code quality.
• Debug issues, write unit/integration tests, and help maintain service reliability and performance.
• Learn to work with CI/CD pipelines, version control (Git), and deployment workflows.
• Use tools like Docker, basic cloud services (AWS/GCP/Azure), and optionally explore monitoring/logging tools.
• Explore new technologies such as GraphQL, WebSockets, or message queues (e.g., Kafka, RabbitMQ) when relevant.

Requirements:

• 1 to 2 years of backend development experience, including internships, academic projects, freelance, or open-source work.
• Familiarity with at least one backend programming language (e.g., Python, Java, Go, JavaScript, etc.).
• Basic understanding of RESTful APIs, HTTP, databases, and server-side logic.
• Exposure to SQL and NoSQL databases and understanding of CRUD operations.
• Familiarity with Git and fundamental development workflows.
• Willingness to learn and apply best practices in scalability, security, and asynchronous programming.
• Strong problem-solving mindset and eagerness to take feedback and grow.
• Good communication and collaboration skills in a team environment.

Role Overview:

We are seeking a highly skilled and experienced Lead Web App Developer - Backend to join our dynamic team in Bengaluru. The ideal candidate will have a strong background in backend development, microservices architecture, and cloud technologies, with a proven ability to deliver robust, scalable solutions. This role involves designing, implementing, and maintaining complex distributed systems, primarily in the Mortgage Finance domain.

Key Responsibilities:

1. Cloud-Based Web Applications Development:

• Lead backend development efforts for cloud-based web applications.
• Work on diverse projects within the Mortgage Finance domain.

1. Microservices Design & Development:

• Design and implement microservices-based architectures.
• Ensure scalability, availability, and reliability of distributed systems.

1. Programming & API Development:

• Write efficient, reusable, and maintainable code in Python, Node.js, and Java.
• Develop and optimize RESTful APIs.

1. Infrastructure Management:

• Leverage AWS platform infrastructure to build secure and scalable solutions.
• Utilize tools like Docker for containerization and deployment.

1. Database Management:

• Work with RDBMS (MySQL) and NoSQL databases to design efficient schemas and optimize queries.

1. Team Collaboration:

• Collaborate with cross-functional teams to ensure seamless integration and delivery of projects.
• Mentor junior developers and contribute to the overall skill development of the team.

Core Requirements:

• Experience: Minimum 10+ years in backend development, with at least 3+ years of experience in designing and delivering large-scale products on microservices architecture.
• Technical Skills:
• Programming Languages: Python, Node.js, Java.
• Frameworks & Tools: AWS (Lambda, RDS, etc.), Docker.
• Database Expertise: Proficiency in RDBMS (MySQL) and NoSQL databases.
• API Development: Hands-on experience in developing REST APIs.
• System Design: Strong understanding of distributed systems, scalability, and availability.

Additional Skills (Preferred):

• Experience with modern frontend frameworks like React.js or AngularJS.
• Strong design and architecture capabilities.

What We Offer:

• Opportunity to work on cutting-edge technologies in a collaborative environment.
• Competitive salary and benefits package.
• Flexible hybrid working model.
• Chance to contribute to impactful projects in the Mortgage Finance domain.

Role Overview

We are looking for a Senior Lead QA to drive quality assurance initiatives, implement automation frameworks, and ensure robust software testing. The ideal candidate will have extensive experience in automation testing, SDLC, agile methodologies, and CI/CD tools while also possessing strong analytical and problem-solving skills.

Key Responsibilities

• Design, develop, and maintain automated test frameworks and test scripts for web, mobile, and API applications.
• Collaborate with development and product teams to understand application architecture and formulate effective test strategies.
• Perform functional, regression, performance, and security testing to ensure software reliability.
• Implement test automation frameworks using tools like Selenium, Rest Assured, Appium, TestNG, JUnit, or Cucumber.
• Drive API automation testing and ensure the seamless functioning of services and integrations.
• Establish CI/CD pipelines by integrating Jenkins, GitLab CI, or similar tools.
• Monitor and analyze test results, conduct root cause analysis, and troubleshoot issues efficiently.
• Optimize test cases and improve test coverage for existing applications.
• Mentor junior QA engineers and promote best practices in software testing.

Must-Have Skills

• Proficiency in Java for test automation.
• Experience with automation frameworks like Selenium, Rest Assured, Appium, TestNG, or JUnit.
• Strong understanding of SDLC, agile methodologies, and testing principles.
• Hands-on experience with CI/CD tools (Jenkins, GitLab CI, or similar).
• Expertise in performance testing using tools like JMeter or LoadRunner.
• Excellent analytical and problem-solving abilities.
• Strong communication and collaboration skills.

Good-to-Have Skills

• Oracle Financials - Fusion (SaaS) and Oracle Financials R12 knowledge.
• Good understanding of functional modules like GL, AP, AR, Cash Management, FA, Interfaces & Integrations, and Treasury Risk Management.
• Experience in financial applications and allied systems.

Role Overview

We are looking for a Senior Lead QA to drive quality assurance initiatives, implement automation frameworks, and ensure robust software testing. The ideal candidate will have extensive experience in automation testing, SDLC, agile methodologies, and CI/CD tools while also possessing strong analytical and problem-solving skills.

Key Responsibilities

• Design, develop, and maintain automated test frameworks and test scripts for web, mobile, and API applications.
• Collaborate with development and product teams to understand application architecture and formulate effective test strategies.
• Perform functional, regression, performance, and security testing to ensure software reliability.
• Implement test automation frameworks using tools like Selenium, Rest Assured, Appium, TestNG, JUnit, or Cucumber.
• Drive API automation testing and ensure the seamless functioning of services and integrations.
• Establish CI/CD pipelines by integrating Jenkins, GitLab CI, or similar tools.
• Monitor and analyze test results, conduct root cause analysis, and troubleshoot issues efficiently.
• Optimize test cases and improve test coverage for existing applications.
• Mentor junior QA engineers and promote best practices in software testing.

Must-Have Skills

• Proficiency in Java for test automation.
• Experience with automation frameworks like Selenium, Rest Assured, Appium, TestNG, or JUnit.
• Strong understanding of SDLC, agile methodologies, and testing principles.
• Hands-on experience with CI/CD tools (Jenkins, GitLab CI, or similar).
• Expertise in performance testing using tools like JMeter or LoadRunner.
• Excellent analytical and problem-solving abilities.
• Strong communication and collaboration skills.

Good-to-Have Skills

• Oracle Financials - Fusion (SaaS) and Oracle Financials R12 knowledge.
• Good understanding of functional modules like GL, AP, AR, Cash Management, FA, Interfaces & Integrations, and Treasury Risk Management.
• Experience in financial applications and allied systems.

We are looking for a highly skilled Solution Architect with a passion for software engineering and deep experience in backend technologies, cloud, and DevOps. This role will be central in managing, designing, and delivering large-scale, scalable solutions.

Core Skills

• Strong coding and software engineering fundamentals.
• Experience in large-scale custom-built applications and platforms.
• Champion of SOLID principles, OO design, and pair programming.
• Agile, Lean, and Continuous Delivery – CI, TDD, BDD.
• Frontend experience is a plus.
• Hands-on with Java, Scala, Golang, Rust, Spark, Python, and JS frameworks.
• Experience with Docker, Kubernetes, and Infrastructure as Code.
• Excellent understanding of cloud technologies – AWS, GCP, Azure.

Responsibilities

• Own all aspects of technical development and delivery.
• Understand project requirements and create architecture documentation.
• Ensure adherence to development best practices through code reviews.

Job Description:

We are looking for a Lead Java Developer – Backend with a strong foundation in software engineering and hands-on experience in designing and building scalable, high-performance backend systems. You’ll be working within our Digital Engineering Studios on impactful and transformative projects in a fast-paced environment.

Key Responsibilities:

• Lead and mentor backend development teams.
• Design and develop scalable backend applications using Java and Spring Boot.
• Ensure high standards of code quality through best practices such as SOLID principles and clean code.
• Participate in pair programming, code reviews, and continuous integration processes.
• Drive Agile, Lean, and Continuous Delivery practices like TDD, BDD, and CI/CD.
• Collaborate with cross-functional teams and clients for successful delivery.

Required Skills & Experience:

• 9–12+ years of experience in backend development (Up to 17 years may be considered).
• Strong programming skills in Java and backend frameworks such as Spring Boot.
• Experience in designing and building large-scale, custom-built, scalable applications.
• Sound understanding of Object-Oriented Design (OOD) and SOLID principles.
• Hands-on experience with Agile methodologies, TDD/BDD, CI/CD pipelines.
• Familiarity with DevOps practices, Docker, Kubernetes, and Infrastructure as Code.
• Good understanding of cloud technologies – especially AWS, and exposure to GCP or Azure.
• Experience working in a product engineering environment is a plus.
• Startup experience or working in fast-paced, high-impact teams is highly desirable.

Job Overview

We are hiring an experienced Senior Database Administrator to manage mission-critical database systems and support the growing scale of our data infrastructure. The ideal candidate will be responsible for maintaining database performance, availability, integrity, and security across various platforms.

Key Responsibilities

• Administer and manage MySQL, MongoDB, PostgreSQL, Oracle, and Redis databases
• Handle performance tuning, query optimization, and indexing strategies
• Implement and manage database backup, recovery, replication, and high availability setups
• Oversee schema design, user roles, access control, and partitioning
• Conduct vulnerability assessments and implement database security best practices
• Collaborate with DevOps teams to support CI/CD pipelines and cloud-based deployments
• Ensure smooth operation of cloud-hosted databases on AWS (RDS, EC2, etc.)

Must-Have Skills

• 6–8 years of proven DBA experience in production environments
• Strong expertise in MySQL (replication, performance tuning, XtraBackup)
• Proficiency in MongoDB (replica sets, sharding, indexing, aggregations, security)
• Hands-on experience with schema management, database monitoring, and partitioning
• Cloud infrastructure knowledge, particularly AWS (RDS, EC2, backups)
• Familiarity with tools such as MySQL Workbench, MongoDB Compass, and pgAdmin

Preferred Skills

• Exposure to PostgreSQL (logical replication, PITR, PostGIS)
• Experience with Oracle (RAC, ASM, RMAN, Data Guard)
• Understanding of Redis and MSSQL
• Scripting knowledge in Python, Bash, or PowerShell
• Experience in CI/CD and DevOps environments
• Database certifications (MySQL, MongoDB, PostgreSQL, Oracle) are a plus

Job Overview:

We are looking for a skilled Senior Backend Engineer to join our team. The ideal candidate will have a strong foundation in Java and Spring, with proven experience in building scalable microservices and backend systems. This role also requires familiarity with automation tools, Python development, and working knowledge of AI technologies.

Responsibilities:

• Design, develop, and maintain backend services and microservices.
• Build and integrate RESTful APIs across distributed systems.
• Ensure performance, scalability, and reliability of backend systems.
• Collaborate with cross-functional teams and participate in agile development.
• Deploy and maintain applications on AWS cloud infrastructure.
• Contribute to automation initiatives and AI/ML feature integration.
• Write clean, testable, and maintainable code following best practices.
• Participate in code reviews and technical discussions.

Required Skills:

• 4+ years of backend development experience.
• Strong proficiency in Java and Spring/Spring Boot frameworks.
• Solid understanding of microservices architecture.
• Experience with REST APIs, CI/CD, and debugging complex systems.
• Proficient in AWS services such as EC2, Lambda, S3.
• Strong analytical and problem-solving skills.
• Excellent communication in English (written and verbal).

Good to Have:

• Experience with automation tools like Workato or similar.
• Hands-on experience with Python development.
• Familiarity with AI/ML features or API integrations.
• Comfortable working with US-based teams (flexible hours).

About the Role

We’re looking for a passionate Fullstack Product Engineer with a strong JavaScript foundation to work on a high-impact, scalable product. You’ll collaborate closely with product and engineering teams to build intuitive UIs and performant backends using modern technologies.

Responsibilities

• Build and maintain scalable features across the frontend and backend.
• Work with tech stacks like Node.js, React.js, Vue.js, and others.
• Contribute to system design, architecture, and code quality enforcement.
• Follow modern engineering practices including TDD, CI/CD, and live coding evaluations.
• Collaborate in code reviews, performance optimizations, and product iterations.

Required Skills

• 4–6 years of hands-on fullstack development experience.
• Strong command over JavaScript, Node.js, and React.js.
• Solid understanding of REST APIs and/or GraphQL.
• Good grasp of OOP principles, TDD, and writing clean, maintainable code.
• Experience with CI/CD tools like GitHub Actions, GitLab CI, Jenkins, etc.
• Familiarity with HTML, CSS, and frontend performance optimization.

Good to Have

• Exposure to Docker, AWS, Kubernetes, or Terraform.
• Experience in other backend languages or frameworks.
• Experience with microservices and scalable system architectures.

Role overview

• Overall 5 to 7 years of experience. Node.js experience is must.
• At least 3+ years of experience or couple of large-scale products delivered on microservices.
• Strong design skills on microservices and AWS platform infrastructure.
• Excellent programming skill in Python, Node.js and Java.
• Hands on development in rest API’s.
• Good understanding of nuances of distributed systems, scalability, and availability.

What would you do here

• To Work as a Backend Developer in developing Cloud Web Applications
• To be part of the team working on various types of web applications related to Mortgage Finance.
• Experience in solving a real-world problem of Implementing, Designing and helping develop a new Enterprise-class Product from ground-up.
• You have expertise in the AWS Cloud Infrastructure and Micro-services architecture around the AWS Service stack like Lambdas, SQS, SNS, MySQL Databases along with Dockers and containerized solutions/applications.
• Experienced in Relational and No-SQL databases and scalable design.
• Experience in solving challenging problems by developing elegant, maintainable code.
• Delivered rapid iterations of software based on user feedback and metrics.
• Help the team make key decisions on our product and technology direction.
• You actively contribute to the adoption of frameworks, standards, and new technologies.

Roles and responsibilities-

- Tech-lead in one of the feature teams, candidate need to be work along with team lead in handling the team without much guidance

- Good communication and leadership skills

- Nurture and build next level talent within the team

- Work in collaboration with other vendors and client development team(s)

- Flexible to learn new tech areas

- Lead complete lifecycle of feature - from feature inception to solution, story grooming, delivery, and support features in production

- Ensure and build the controls and processes for continuous delivery of applications, considering all stages of the process and its automations

- Interact with teammates from across the business and comfortable explaining technical concepts to nontechnical audiences

- Create robust, scalable, flexible, and relevant solutions that help transform product and businesses

Must haves: 

- Spark

- Scala

- Postgres(or any SQL DB)s

- Elasticsearch(or any No-SQL DB)

- Azure (if not, any other cloud experience)

- Big data processing

Good to have:

- Golang

- Databricks

- Kubernetes

Profile: AWS Data Engineer

Mandate skills :AWS + Databricks + Pyspark + SQL role

Location: Bangalore/Pune/Hyderabad/Chennai/Gurgaon:

Notice Period: Immediate

Key Requirements :

• Design, build, and maintain scalable data pipelines to collect, process, and store from multiple datasets.
• Optimize data storage solutions for better performance, scalability, and cost-efficiency.
• Develop and manage ETL/ELT processes to transform data as per schema definitions, apply slicing and dicing, and make it available for downstream jobs and other teams.
• Collaborate closely with cross-functional teams to understand system and product functionalities, pace up feature development, and capture evolving data requirements.
• Engage with stakeholders to gather requirements and create curated datasets for downstream consumption and end-user reporting.
• Automate deployment and CI/CD processes using GitHub workflows, identifying areas to reduce manual, repetitive work.
• Ensure compliance with data governance policies, privacy regulations, and security protocols.
• Utilize cloud platforms like AWS and work on Databricks for data processing with S3 Storage.
• Work with distributed systems and big data technologies such as Spark, SQL, and Delta Lake.
• Integrate with SFTP to push data securely from Databricks to remote locations.
• Analyze and interpret spark query execution plans to fine-tune queries for faster and more efficient processing.
• Strong problem-solving and troubleshooting skills in large-scale distributed systems.

Location & Work Model:

• Position: Contract to hire
• Bangalore -  Marathahalli; 
• Work mode - Work from Office; all 5 days
• Looking for immediate joiners

Technical Requirements:

• Strong experience in Java Backend Development
• Proficiency in both SQL & NoSQL databases (e.g., MongoDB, PostgreSQL, MySQL)
• Basic knowledge of DevOps tools (CI/CD pipeline)
• Familiarity with cloud providers (AWS, GCP)
• Ability to quickly learn and adapt to emerging technologies, including AI-driven tools, and automation solutions
• Strong problem-solving mindset with an interest in leveraging AI and data-driven approaches for backend optimizations

Soft Skills & Mindset:

• Strong communication & articulation skills
• Structured thought process and a logical approach to problem-solving
• Interest & willingness to learn and adapt to new technologies

Roles and Responsibilities:

• Develop high-quality code and employ object-oriented design principles while strictly adhering to best coding practices.
• Ability to work independently
• Demonstrate substantial expertise in Core Java, Multithreading, and Spring/Spring Boot frameworks.
• Possess a solid understanding of Spring, Hibernate, Caching Frameworks, and Memory Management.
• Proficient in crafting complex analytical SQL queries to meet project requirements.
• Contribute to the development of Highly Scalable applications.
• Design and implement Rest-based applications with efficiency and precision.
• Create comprehensive unit tests using frameworks such as Junit and Mockito.
• Engage in the Continuous Integration/Continuous Deployment (CI/CD) process and utilize build tools like Git and Maven.
• Familiarity with any Cloud service provider is considered an added advantage.

Required Skills and Experience :

• Experience in cloud platform AWS is necessary.
• Experience in big data processing frameworks like Apache Spark, Flink, Kafka, etc
• In-depth proficiency in Java, Spring Boot, Spring Frameworks, Hibernate, SQL, and Unit Testing frameworks.
• Good knowledge of SQL and experience with complex queries is a must
• Experience in supporting and debugging issues in the production environment is a must.
• Experience in Analytical databases like Redshift, Big Query, Snowflake, Clickhouse, etc is a plus.

Company name: JPMorgan (JPMC)

Job Category:
 Predictive Science

Location: Parcel 9, Embassy Tech Village, Outer Ring Road, Deverabeesanhalli Village, Varthur Hobli, Bengaluru

Job Schedule: 
Full time

JOB DESCRIPTION

JPMC is hiring the best talents to join the growing Asset and Wealth Management AI team. We are executing like a startup and building next-generation technology that combines JPMC unique data and full-service advantage to develop high impact AI applications and platforms in the financial services industry. We are looking for hands-on ML Engineering leader and expert who is excited about the opportunity. 

As a senior ML and GenAI engineer, you will play a lead role as a senior member of our global team. Your responsibilities will entail hands on development of high-impact business solutions through data analysis, developing cutting edge ML and LLM models, and deploying these models to production environments on AWS or Azure. 

You'll combine your years of proven development expertise with a never-ending quest to create innovative technology through solid engineering practices. Your passion and experience in one or more technology domains will help solve complex business problems to serve our Private Bank clients. As a constant learner and early adopter, you’re already embracing leading-edge technologies and methodologies; your example encourages others to follow suit. 

 Job responsibilities 

• Hands-on architecture and implementation of lighthouse ML and LLM-powered solutions 

• Close partnership with peers in a geographically dispersed team and colleagues across organizational lines 

• Collaborate across JPMorgan AWM’s lines of business and functions to accelerate adoption of common AI capabilities 

• Design and implement highly scalable and reliable data processing pipelines and deploy model inference services. 

• Deploy solutions into public cloud infrastructure 

• Experiment, develop and productionize high quality machine learning models, services, and platforms to make a huge technology and business impact 

 Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience

• MS in Computer Science, Statistics, Mathematics or Machine Learning. 

• Development experience, along with hands-on Machine Learning Engineering 

• Proven leadership capacity, including new AI/ML idea generation and GenAI-based solutions 

• Solid Python programming skills required; with other high-performance language such as Go a big plus 

• Expert knowledge of one of the cloud computing platforms preferred: Amazon Web Services (AWS), Azure, Kubernetes. 

• Experience in using LLMs (OpenAI, Claude or other models) to solve business problems, including full workflow toolset, such as tracing, evaluations and guardrails. Understanding of LLM fine-tuning and inference a plus 

• Knowledge of data pipelines, both batch and real-time data processing on both SQL (such as Postgres) and NoSQL stores (such as OpenSearch and Redis) 

• Expertise in application, data, and infrastructure architecture disciplines 

• Deep knowledge in Data structures, Algorithms, Machine Learning, Data Mining, Information Retrieval, Statistics. 

• Excellent communication skills and ability to communicate with senior technical and business partners 

 Preferred qualifications, capabilities, and skills

• Expert in at least one of the following areas: Natural Language Processing, Reinforcement Learning, Ranking and Recommendation, or Time Series Analysis. 

• Knowledge of machine learning frameworks: Pytorch, Keras, MXNet, Scikit-Learn 

• Understanding of finance or wealth management businesses is an added advantage 

ABOUT US

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

ABOUT THE TEAM

J.P. Morgan Asset & Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals.

About HelloRamp.ai

HelloRamp is on a mission to revolutionize media creation for automotive and retail using AI. Our platform powers 3D/AR experiences for leading brands like Cars24, Spinny, and Samsung. We’re now building the next generation of Computer Vision + AI products, including cutting-edge NeRF pipelines and AI-driven video generation.

What You’ll Work On

• Develop and optimize Computer Vision pipelines for large-scale media creation.
• Implement NeRF-based systems for high-quality 3D reconstruction.
• Build and fine-tune AI video generation models using state-of-the-art techniques.
• Optimize AI inference for production (CUDA, TensorRT, ONNX).
• Collaborate with the engineering team to integrate AI features into scalable cloud systems.
• Research latest AI/CV advancements and bring them into production.

Skills & Experience

• Strong Python programming skills.
• Deep expertise in Computer Vision and Machine Learning.
• Hands-on with PyTorch/TensorFlow.
• Experience with NeRF frameworks (Instant-NGP, Nerfstudio, Plenoxels) and/or video synthesis models.
• Familiarity with 3D graphics concepts (meshes, point clouds, depth maps).
• GPU programming and optimization skills.

Nice to Have

• Knowledge of Three.js or WebGL for rendering AI outputs on the web.
• Familiarity with FFmpeg and video processing pipelines.
• Experience in cloud-based GPU environments (AWS/GCP).

Why Join Us?

• Work on cutting-edge AI and Computer Vision projects with global impact.
• Join a small, high-ownership team where your work matters.
• Opportunity to experiment, publish, and contribute to open-source.
• Competitive pay and flexible work setup.

Looking for 5+ years experienced Senior Fullstack Engineer for research-focused, product-based, US-based Startup

AI Assistant for Research using state of the art language models (ChatGPT for Research)

At SciSpace, we're using language models to automate and streamline research workflows from start to finish. And the best part? We're already making waves in the industry, with a whopping 5 million users on board as of November 2025!

Our users love us too, with a 40% MOM retention rate and 10% of them using our app more than once a week! We're growing by more than 50% every month, all thanks to our awesome users spreading the word (see it yourself on Twitter).

And with almost weekly feature launches since our inception, we're constantly pushing the boundaries of what's possible. Our team of experts in design, front-end, full-stack engineering, and machine learning is already in place, but we're always on the lookout for new talent to help us take things to the next level.

Our user base is super engaged and always eager to provide feedback, making Scispace one of the most advanced applications of language models out there.

We are looking for insatiably curious, always learning SDE 2 Fullstack Engineer. You could get a chance to work on the most important and challenging problems at scale.

Responsibilities:

• Work in managing products as part of SciSpace product suite.
• Partner with product owners in designing software that becomes part of researchers’ lives.
• Model real-world scenarios into code that can build the SciSpace platform.
• Test code that you write and continuously improve practices at SciSpace.
• Arrive at technology decisions after extensive debates with other engineers.
• Manage large projects from conceptualization, all the way through deployments.
• Evolve and ecosystem of tools and libraries that make it possible for SciSpace to provide reliable, always-on, performant services to our users.
• Partner with other engineers in developing an architecture that is resilient to changes in product requirements and usage.
• Work on the user-interface side and deliver a snappy, enjoyable experience to your users.

Our Ideal Candidate would:

• Strong grasp of one high-level language like Python, Javascript, etc.
• Strong grasp of front-end HTML/CSS, non-trivial browser-side javascript
• General awareness of SQL and database design concepts
• Solid understanding of testing fundamentals
• Strong communication skills
• Should have prior experience in managing and executing technology products.

Bonus:

• Prior experience working with high-volume, always-available web-applications
• Experience in ElasticSearch.
• Experience in Distributed systems.
• Experience working with Start-up is a plus point.

About CoverSelf: We are an InsurTech start-up based out of Bangalore, with a focus on Healthcare. CoverSelf empowers healthcare insurance companies with a truly NEXT-GEN cloud-native, holistic & customizable platform preventing and adapting to the ever-evolving claims & payment inaccuracies. Reduce complexity and administrative costs with a unified healthcare dedicated platform.

Overview about the role: We are looking for a Junior DevOps Engineer who would be working on the bleeding edge of technologies. The role would be primarily to achieve various functions like maintaining, monitoring, securing and automating our cloud infrastructure and applications. If you have a solid background in kubernetes and terraform, we’d love to speak with you.

Responsibilities:

➔ Implement, and maintain application infrastructure, databases, and networks.

➔ Develop and implement automation scripts using Terraform for infrastructure deployment.

➔ Implement and maintain containerized applications using Docker and Kubernetes.

➔ Work with other DevOps Engineers in the team on deploying applications, provisioning infrastructure, Automation, routine audits, upgrading systems, capacity planning, and benchmarking.

➔ Work closely with our Engineering Team to ensure seamless integration of new tools and perform day-to-day activities which can help developers deploy and release their code seamlessly.

➔ Respond to service outages/incidents and ensure system uptime requirements are met.

➔ Ensure the security and compliance of our applications and infrastructure.

Requirements:

➔ Must have a B.Tech degree

➔ Must have at least 2 years experience as a devops engineer

➔ Operating Systems: Good understanding in any of the UNIX/Linux platforms and good to have windows.

➔ Source Code Management: Expertise in GIT for version control and managing branching strategies.

➔ Networking: Basic understanding of network fundamentals like Networks, DNS, PORTS, ROUTES,NAT GATEWAYS and VPN.

➔ Cloud Platforms: Should have minimum 2 years of experience in working with AWS and good to have understanding of other cloud platforms, such as Microsoft Azure and Google Cloud Platform.

➔ Infrastructure Automation: Experience with Terraform to automate infrastructure provisioning and configuration.

➔ Container Orchestration: Must have at least 1 year of experience in managing Kubernetes clusters.

➔ Containerization: Experience in containerization of applications using Docker.

➔ CI/CD and Scripting: Experience with CI/CD concepts and tools (e.g., Gitlab CI) and scripting languages like Python or Shell for automation.

➔ Monitoring and Observability: Familiarity with monitoring tools like Prometheus, Grafana, CloudWatch, and troubleshooting using logs and metrics analysis.

➔ Security Practices: Basic understanding of security best practices in a DevOps environment and Integration of security into the CI/CD pipeline (DevSecOps).

➔ Databases: Good to have knowledge on one of the databases like MySQL, Postgres, mongo.

➔ Problem Solving and Troubleshooting: Debugging and troubleshooting skills for resolving issues in development, testing, and production environments.

Work Location: Jayanagar - Bangalore.

Work Mode: Work from Office.

Benefits: Best in the Industry Compensation, Friendly & Flexible Leave Policy, Health Benefits, Certifications & Courses Reimbursements, Chance to be part of rapidly growing start-up & the next success story, and many more.

Additional Information: At CoverSelf, we are creating a global workplace that enables everyone to find their true potential, purpose, and passion irrespective of their background, gender, race, sexual orientation, religion and ethnicity. We are committed to providing equal opportunity for all and believe that diversity in the workplace creates a more vibrant, richer work environment that advances the goals of our employees, communities and the business.

Experience: Back-end development: 6 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:

• 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, 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.

Senior Cloud & ML Infrastructure Engineer

Location: Bangalore / Bengaluru, Hyderabad, Pune, Mumbai, Mohali, Panchkula, Delhi

Experience: 6–10+ Years

Night Shift - 9 pm to 6 am

About the Role:

We’re looking for a Senior Cloud & ML Infrastructure Engineer to lead the design,scaling, and optimization of cloud-native machine learning infrastructure. This role is ideal forsomeone passionate about solving complex platform engineering challenges across AWS, witha focus on model orchestration, deployment automation, and production-grade reliability. You’llarchitect ML systems at scale, provide guidance on infrastructure best practices, and work cross-functionally to bridge DevOps, ML, and backend teams.

Key Responsibilities:

● Architect and manage end-to-end ML infrastructure using SageMaker, AWS StepFunctions, Lambda, and ECR

● Design and implement multi-region, highly-available AWS solutions for real-timeinference and batch processing

● Create and manage IaC blueprints for reproducible infrastructure using AWS CDK

● Establish CI/CD practices for ML model packaging, validation, and drift monitoring

● Oversee infrastructure security, including IAM policies, encryption at rest/in-transit, andcompliance standards

● Monitor and optimize compute/storage cost, ensuring efficient resource usage at scale

● Collaborate on data lake and analytics integration

● Serve as a technical mentor and guide AWS adoption patterns across engineeringteams

Required Skills:

● 6+ years designing and deploying cloud infrastructure on AWS at scale

● Proven experience building and maintaining ML pipelines with services like SageMaker,ECS/EKS, or custom Docker pipelines

● Strong knowledge of networking, IAM, VPCs, and security best practices in AWS

● Deep experience with automation frameworks, IaC tools, and CI/CD strategies

● Advanced scripting proficiency in Python, Go, or Bash

● Familiarity with observability stacks (CloudWatch, Prometheus, Grafana)

Nice to Have:

● Background in robotics infrastructure, including AWS IoT Core, Greengrass, or OTA deployments

● Experience designing systems for physical robot fleet telemetry, diagnostics, and control

● Familiarity with multi-stage production environments and robotic software rollout processes

● Competence in frontend hosting for dashboard or API visualization

● Involvement with real-time streaming, MQTT, or edge inference workflows

● Hands-on experience with ROS 2 (Robot Operating System) or similar robotics frameworks, including launch file management, sensor data pipelines, and deployment to embedded Linux devices

🚀 We’re Hiring: Senior Cloud & ML Infrastructure Engineer 🚀

We’re looking for an experienced engineer to lead the design, scaling, and optimization of cloud-native ML infrastructure on AWS.

If you’re passionate about platform engineering, automation, and running ML systems at scale, this role is for you.

What you’ll do:

🔹 Architect and manage ML infrastructure with AWS (SageMaker, Step Functions, Lambda, ECR)

🔹 Build highly available, multi-region solutions for real-time & batch inference

🔹 Automate with IaC (AWS CDK, Terraform) and CI/CD pipelines

🔹 Ensure security, compliance, and cost efficiency

🔹 Collaborate across DevOps, ML, and backend teams

What we’re looking for:

✔️ 6+ years AWS cloud infrastructure experience

✔️ Strong ML pipeline experience (SageMaker, ECS/EKS, Docker)

✔️ Proficiency in Python/Go/Bash scripting

✔️ Knowledge of networking, IAM, and security best practices

✔️ Experience with observability tools (CloudWatch, Prometheus, Grafana)

✨ Nice to have: Robotics/IoT background (ROS2, Greengrass, Edge Inference)

📍 Location: Bengaluru, Hyderabad, Mumbai, Pune, Mohali, Delhi

5 days working, Work from Office

Night shifts: 9pm to 6am IST

👉 If this sounds like you (or someone you know), let’s connect!

Apply here:

Job Title: AWS DevOps Engineer

Experience Level: 5+ Years

Location: Bangalore, Pune, Hyderabad, Chennai and Gurgaon

Summary:

We are looking for a hands-on Platform Engineer with strong execution skills to provision and manage cloud infrastructure. The ideal candidate will have experience with Linux, AWS services, Kubernetes, and Terraform, and should be capable of troubleshooting complex issues in cloud and container environments.

Key Responsibilities:

• Provision AWS infrastructure using Terraform (IaC).
• Manage and troubleshoot Kubernetes clusters (EKS/ECS).
• Work with core AWS services: VPC, EC2, S3, RDS, Lambda, ALB, WAF, and CloudFront.
• Support CI/CD pipelines using Jenkins and GitHub.
• Collaborate with teams to resolve infrastructure and deployment issues.
• Maintain documentation of infrastructure and operational procedures.

Required Skills:

• 3+ years of hands-on experience in AWS infrastructure provisioning using Terraform.
• Strong Linux administration and troubleshooting skills.
• Experience managing Kubernetes clusters.
• Basic experience with CI/CD tools like Jenkins and GitHub.
• Good communication skills and a positive, team-oriented attitude.

Preferred:

• AWS Certification (e.g., Solutions Architect, DevOps Engineer).
• Exposure to Agile and DevOps practices.
• Experience with monitoring and logging tools.

Job Title- Java Developer/ Senior Java Developer

Required Experience- 5-10 years

Location- Bangalore/ Remote

Desired Skills- Java, microservices, Docker, Kubernetes

Job Type- Full time

Your key responsibilities:

● Build systems to add features across our messaging platform

● Create scalable microservices that will help support our impressive growth

● Propose scalable, maintainable and cost-effective solutions

● Estimate the effort required to develop and implement new features

● Develop and execute effective testing strategies, including unit tests, integration tests,

and end-to-end tests, to ensure software quality and reliability

● Collaborate with cross-functional teams to ensure seamless integration and functionality.

What you’ll bring

Required:

● Excellent software engineering skills in Java for backend services

● A strong focus on testing, with a customer-first mindset

● Experience with multi-threaded architectures, web services, caching, and event-driven

pipelines.

● Practical experience in deploying code in a modern programming environment using

tools such as Docker and Kubernetes

● Strong emphasis on testing and familiarity with Object-Oriented Design and design

patterns.

• 3-7+ years of engineering experience building full-stack applications (ideally in Go and React)
• Strong experience with event-driven architectures, message queues, and distributed systems
• Proven track record managing production databases including schema design and performance optimization
• Deep understanding of security best practices and production deployment strategies
• Experience with cloud platforms like AWS and containerization technologies
• Familiar with self-hosting (we work w on-premises deployment a lot)
• Flexibility to work across multiple languages (Go, Python, React, and potentially Rust)
• [BONUS] You have worked with Electron and are familiar with deploying desktop apps on Windows

Role Overview

Are you passionate about revolutionizing the world of cloud platforms and eager to make a lasting impact on the industry? Do you thrive on the challenge of crafting large-scale cloud services that further simplify cloud adoption for other businesses? Are you driven to create impeccably designed APIs that will delight thousands of developers and turn them into loyal advocates? Or maybe you're excited by the prospect of engineering a near-real-time, millisecond-latency event processing pipeline?

If you are a driven, innovative, and experienced Principal Platform Engineer who is passionate about cloud technologies and looking to make a significant impact, we want to hear from you. Apply today to join our growing team!

MontyCloud is seeking an experienced Principal Platform Engineer with extensive knowledge in SaaS platforms, AWS cloud, and a proven track record of building and shipping highly scalable SaaS platforms. The ideal candidate will have strong system architecture and design skills, as well as exceptional programming and platform development experience.

Key Responsibilities:

• Lead the design and implementation of our Cloud Management Platform, ensuring its scalability, reliability, and performance.
• Collaborate with cross-functional teams to define system architecture, develop innovative solutions, and drive continuous improvements.
• Utilize your expertise in AWS and other cloud technologies to build and maintain cloud-native components and services.
• Serve as a technical mentor for the engineering team, fostering a culture of learning, collaboration, and innovation.
• Drive the adoption of best practices, design patterns, and emerging technologies in the cloud domain.
• Actively participate in code and design reviews, providing constructive feedback to team members.
• Ensure the successful delivery of high-quality software by defining and implementing effective development processes and methodologies.
• Communicate complex technical concepts effectively via well written technical documents and knowledge sessions to both technical and non-technical stakeholders.

Must Have Skills:

• Experience in software development, with a focus on SaaS platforms and AWS cloud technologies.
• Proven experience in designing, building, and maintaining highly scalable, performant, and resilient systems.
• Expertise in serverless architecture, event-driven design, distributed systems, and event streams.
• Experience in designing, building and shipping low-latency and high-performance APIs.
• Experience building with services such as Kafka, Open Search/Elastic Search, AWS Kinesis, Azure Streams.
• Strong programming skills in languages such as Python, Java, or Go.
• Experience working with infrastructure as code tools, such as Terraform or CloudFormation.
• Experience in building AI/ML systems and familiarity with Large Language Models is nice to have.
• Excellent verbal and written communication skills, with the ability to articulate complex concepts to diverse audiences.
• Demonstrated leadership experience, with the ability to inspire and motivate a team.

Good to Have

• Familiarity with containerization technologies, such as Docker and Kubernetes.

Experience:

• 12-15 years of experience in software development, with a focus on SaaS platforms and AWS cloud technologies.
• 8+ years of experience in building and shipping SaaS platforms
• 4+ years of experience in building platforms using Serverless Architecture
• 8+ years. of experience in building cloud native applications on AWS or Azure
• 8+ years of experience in in building applications using either Test Driven Development (TDD) or Behavior Driven Development (BDD) methodologies.

Education

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

Interview Process

• L1- Technical round
• L2- Presentation round with EM
• 1-1 with Director, CTO, and AVP

Role Overview:

We are seeking a seasoned Lead Platform Engineer with a strong background in platform development and a proven track record of leading technology design and teams. The ideal candidate will have at least 8 years of overall experience, with a minimum of 5 years in relevant roles. This position entails owning module design and spearheading the implementation process alongside a team of talented platform engineers.

At MontyCloud, you'll have the opportunity to work on cutting-edge technology, shaping the future of our cloud management platform with your expertise. If you're passionate about building scalable, efficient, and innovative cloud solutions, we'd love to have you on our team.

Responsibilities:

• Lead the design and architecture of robust, scalable platform modules, ensuring alignment with business objectives and technical standards.
• Drive the implementation of platform solutions, collaborating closely with platform engineers and cross-functional teams to achieve project milestones.
• Mentor and guide a team of platform engineers, fostering an environment of growth and continuous improvement.
• Stay abreast of emerging technologies and industry trends, incorporating them into the platform to enhance functionality and user experience.
• Ensure the reliability and security of the platform through comprehensive testing and adherence to best practices.
• Collaborate with senior leadership to set technical strategy and goals for the platform engineering team.

Must have skills:

• Expertise in Python programming, with a solid foundation in writing clean, efficient, and scalable code.
• Proven experience in serverless application development, designing and implementing microservices, and working within event-driven architectures.
• Demonstrated experience in building and shipping high-quality SaaS platforms/applications on AWS, showcasing a portfolio of successful deployments.
• Comprehensive understanding of cloud computing concepts, AWS architectural best practices, and familiarity with a range of AWS services, including but not limited to Lambda, RDS, DynamoDB, and API Gateway.
• Exceptional problem-solving skills, with a proven ability to optimize complex systems for efficiency and scalability.
• Excellent communication skills, with a track record of effective collaboration with team members and successful engagement with stakeholders across various levels.
• Previous experience leading technology design and engineering teams, with a focus on mentoring, guiding, and driving the team towards achieving project milestones and technical excellence.

Good to Have skills:

• AWS Certified Solutions Architect, AWS Certified Developer, or other relevant cloud development certifications.
• Experience with the AWS Boto3 SDK for Python.
• Exposure to other cloud platforms such as Azure or GCP.
• Knowledge of containerization and orchestration technologies, such as Docker and Kubernetes.

Experience:

• Total Experience: 8 + years of experience in Software or Platform Engineering
• Minimum 5 years of experience in roles directly relevant to platform development and team leadership
• Minimum 4 years of experience in developing applications with Python
• Minimum 3 years of experience in serverless application development
• Minimum 3 years of experience in building event-driven architectures

Education:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

Interview Process:

• Coding Assignment
• L1- code review
• F2F Round with Director of Engineering

• 6+ years of experience in Java backend development with expertise in Spring/Spring Boot and RESTful services.
• Solid grasp of Object-Oriented Programming (OOP), system design, and design patterns.
• Proven experience leading a team of engineers or taking ownership of modules/projects.
• Experience with AWS Cloud services (EC2, Lambda, S3, etc.) is a strong advantage.
• Familiarity with Agile/Scrum methodologies and working in cross-functional teams.
• Excellent problem-solving, debugging, and analytical skills.
• Strong communication and leadership skills.

1 Senior Associate Technology L1 – Java Microservices

Company Description

Publicis Sapient is a digital transformation partner helping established organizations get to their future, digitally-enabled state, both in the way they work and the way they serve their customers. We help unlock value through a start-up mindset and modern methods, fusing strategy, consulting and customer experience with agile engineering and problem-solving creativity. United by our core values and our purpose of helping people thrive in the brave pursuit of next, our 20,000+ people in 53 offices around the world combine experience across technology, data sciences, consulting and customer obsession to accelerate our clients’ businesses through designing the products and services their customers truly value.

Job Description

We are looking for a Senior Associate Technology Level 1 - Java Microservices Developer to join our team of bright thinkers and doers. You’ll use your problem-solving creativity to design, architect, and develop high-end technology solutions that solve our clients’ most complex and challenging problems across different industries.

We are on a mission to transform the world, and you will be instrumental in shaping how we do it with your ideas, thoughts, and solutions.

Your Impact:

• Drive the design, planning, and implementation of multifaceted applications, giving you breadth and depth of knowledge across the entire project lifecycle.

• Combine your technical expertise and problem-solving passion to work closely with clients, turning • complex ideas into end-to-end solutions that transform our clients’ business

• Constantly innovate and evaluate emerging technologies and methods to provide scalable and elegant solutions that help clients achieve their business goals.

Qualifications

➢ 5 to 7 Years of software development experience

➢ Strong development skills in Java JDK 1.8 or above

➢ Java fundamentals like Exceptional handling, Serialization/Deserialization and Immutability concepts

➢ Good fundamental knowledge in Enums, Collections, Annotations, Generics, Auto boxing and Data Structure

➢ Database RDBMS/No SQL (SQL, Joins, Indexing)

➢ Multithreading (Re-entrant Lock, Fork & Join, Sync, Executor Framework)

➢ Spring Core & Spring Boot, security, transactions ➢ Hands-on experience with JMS (ActiveMQ, RabbitMQ, Kafka etc)

➢ Memory Mgmt (JVM configuration, Profiling, GC), profiling, Perf tunning, Testing, Jmeter/similar tool)

➢ Devops (CI/CD: Maven/Gradle, Jenkins, Quality plugins, Docker and containersization)

➢ Logical/Analytical skills. Thorough understanding of OOPS concepts, Design principles and implementation of

➢ different type of Design patterns. ➢ Hands-on experience with any of the logging frameworks (SLF4J/LogBack/Log4j) ➢ Experience of writing Junit test cases using Mockito / Powermock frameworks.

➢ Should have practical experience with Maven/Gradle and knowledge of version control systems like Git/SVN etc.

➢ Good communication skills and ability to work with global teams to define and deliver on projects.

➢ Sound understanding/experience in software development process, test-driven development.

➢ Cloud – AWS / AZURE / GCP / PCF or any private cloud would also be fine

➢ Experience in Microservices

Role: DevOps Engineer

Exp: 4 - 7 Years

CTC: up to 28 LPA

Key Responsibilities

•   Design, build, and manage scalable infrastructure on cloud platforms (GCP, AWS, Azure, or OCI)

•   Administer and optimize Kubernetes clusters and container runtimes (Docker, containerd)

•   Develop and maintain CI/CD pipelines for multiple services and environments

•   Manage infrastructure as code using tools like Terraform and/or Pulumi

•   Automate operations with Python and shell scripting for deployment, monitoring, and maintenance

•   Ensure high availability and performance of production systems and troubleshoot incidents effectively

•   Monitor system metrics and implement observability best practices using tools like Prometheus, Grafana, ELK, etc.

•   Collaborate with development, security, and product teams to align infrastructure with business needs

•   Apply best practices in cloud networking, Linux administration, and configuration management

•   Support compliance and security audits; assist with implementation of cloud security measures (e.g., firewalls, IDS/IPS, IAM hardening)

•   Participate in on-call rotations and incident response activities

If Interested kindly share your updated resume on 82008 31681

Role Overview

We're looking for experienced Data Engineers who can independently design, build, and manage scalable data platforms. You'll work directly with clients and internal teams to develop robust data pipelines that support analytics, AI/ML, and operational systems.

You’ll also play a mentorship role and help establish strong engineering practices across our data projects.

Key Responsibilities

• Design and develop large-scale, distributed data pipelines (batch and streaming)
• Implement scalable data models, warehouses/lakehouses, and data lakes
• Translate business requirements into technical data solutions
• Optimize data pipelines for performance and reliability
• Ensure code is clean, modular, tested, and documented
• Contribute to architecture, tooling decisions, and platform setup
• Review code/design and mentor junior engineers

Must-Have Skills

• Strong programming skills in Python and advanced SQL
• Solid grasp of ETL/ELT, data modeling (OLTP & OLAP), and stream processing
• Hands-on experience with frameworks like Apache Spark, Flink, etc.
• Experience with orchestration tools like Airflow
• Familiarity with CI/CD pipelines and Git
• Ability to debug and scale data pipelines in production

Preferred Skills

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

What We’re Looking For

• Problem-solver with strong analytical skills and attention to detail
• Fast learner who can adapt across tools, tech stacks, and domains
• Comfortable working in fast-paced, client-facing environments
• Willingness to travel within India when required

Key Responsibilities:

Kubernetes Management:

Deploy, configure, and maintain Kubernetes clusters on AKS, EKS, GKE, and OKE.

Troubleshoot and resolve issues related to cluster performance and availability.

Database Migration:

 Plan and execute database migration strategies across multicloud environments, ensuring data integrity and minimal downtime.

Collaborate with database teams to optimize data flow and management.

Coding and Development:

 Develop, test, and optimize code with a focus on enhancing algorithms and data structures for system performance.

Implement best coding practices and contribute to code reviews.

Cross-Platform Integration:

  Facilitate seamless integration of services across different cloud providers to enhance interoperability.

Collaborate with development teams to ensure consistent application performance across environments.

Performance Optimization:

  Monitor system performance metrics, identify bottlenecks, and implement effective solutions to optimize resource utilization.

Conduct regular performance assessments and provide recommendations for improvements.

Experience:

  Minimum of 2+ years of experience in cloud computing, with a strong focus on Kubernetes management across multiple platforms.

Technical Skills:

  Proficient in cloud services and infrastructure, including networking and security considerations.

Strong programming skills in languages such as Python, Go, or Java, with a solid understanding of algorithms and data structures.

Problem-Solving:

 Excellent analytical and troubleshooting skills with a proactive approach to identifying and resolving issues.

Communication:

 Strong verbal and written communication skills, with the ability to collaborate effectively with cross-functional teams.

Preferred Skills:

- Familiarity with CI/CD tools and practices.

- Experience with container orchestration and management tools.

- Knowledge of microservices architecture and design patterns.

Requirements

• Design, implement, and manage CI/CD pipelines using Azure DevOps, GitHub, and Jenkins for automated deployments of applications and infrastructure changes.
• Architect and deploy solutions on Kubernetes clusters (EKS and AKS) to support containerized applications and microservices architecture.
• Collaborate with development teams to streamline code deployments, releases, and continuous integration processes across multiple environments.
• Configure and manage Azure services including Azure Synapse Analytics, Azure Data Factory (ADF), Azure Data Lake Storage (ADLS), and other data services for efficient data processing and analytics workflows.
• Utilize AWS services such as Amazon EMR, Amazon Redshift, Amazon S3, Amazon Aurora, IAM policies, and Azure Monitor for data management, warehousing, and governance.
• Implement infrastructure as code (IaC) using tools like Terraform or CloudFormation to automate provisioning and management of cloud resources.
• Ensure high availability, performance monitoring, and disaster recovery strategies for cloud-based applications and services.
• Develop and enforce security best practices and compliance policies, including IAM policies, encryption, and access controls across Azure environments.
• Collaborate with cross-functional teams to troubleshoot production issues, conduct root cause analysis, and implement solutions to prevent recurrence.
• Stay current with industry trends, best practices, and evolving technologies in cloud computing, DevOps, and container orchestration.

**Qualifications: **

• Bachelor’s degree in Computer Science, Engineering, or related field; or equivalent work experience.
• 5+ years of experience as a DevOps Engineer or similar role with hands-on expertise in AWS and Azure cloud environments.
• Strong proficiency in Azure DevOps, Git, GitHub, Jenkins, and CI/CD pipeline automation.
• Experience deploying and managing Kubernetes clusters (EKS, AKS) and container orchestration platforms.
• Deep understanding of cloud-native architectures, microservices, and serverless computing.
• Familiarity with Azure Synapse, ADF, ADLS, and AWS data services (EMR, Redshift, Glue) for data integration and analytics.
• Solid grasp of infrastructure as code (IaC) tools like Terraform, CloudFormation, or ARM templates.
• Experience with monitoring tools (e.g., Prometheus, Grafana) and logging solutions for cloud-based applications.
• Excellent troubleshooting skills and ability to resolve complex technical issues in production environments.

Role: DevOps Engineer

Exp: 4 - 7 Years

CTC: up to 28 LPA

Key Responsibilities

•   Design, build, and manage scalable infrastructure on cloud platforms (GCP, AWS, Azure, or OCI)

•   Administer and optimize Kubernetes clusters and container runtimes (Docker, containerd)

•   Develop and maintain CI/CD pipelines for multiple services and environments

•   Manage infrastructure as code using tools like Terraform and/or Pulumi

•   Automate operations with Python and shell scripting for deployment, monitoring, and maintenance

•   Ensure high availability and performance of production systems and troubleshoot incidents effectively

•   Monitor system metrics and implement observability best practices using tools like Prometheus, Grafana, ELK, etc.

•   Collaborate with development, security, and product teams to align infrastructure with business needs

•   Apply best practices in cloud networking, Linux administration, and configuration management

•   Support compliance and security audits; assist with implementation of cloud security measures (e.g., firewalls, IDS/IPS, IAM hardening)

•   Participate in on-call rotations and incident response activities

Job Title: Backend Developer

Experience: 2–7 Years

Location: On-site – Bangalore

Employment Type: Full-Time

Company: Pepsales AI (Multiplicity Technologies Inc.)

About Pepsales

Pepsales AI is a real-time sales enablement and conversation intelligence platform built for B2B SaaS sales teams. It empowers sellers across every stage of the sales cycle—before, during, and after discovery calls—by providing actionable insights that move deals forward. 

• For Account Executives: Pepsales AI transforms the discovery process, ensuring objective deal qualification and frictionless handoffs to solution engineers—enabling AEs to focus on winning, not chasing.
• For Solution Engineers and Consultants: It elevates demo experiences by delivering real-time buyer context and actionable insights, ensuring every interaction is highly personalized and impactful.
• For Sales Leaders: It provides enterprise-grade intelligence across forecasting, pipeline health, team performance, coaching, and the authentic voice of the customer—empowering data-driven decision-making at scale.

With Pepsales AI, sales teams run sharper meetings, accelerate deal cycles, and close with confidence.

Role Overview

We’re seeking a passionate Backend Developer to join our fast-paced team in Bangalore and help build and scale the core systems powering Pepsales. In this full-time, on-site role, you’ll work on high-impact features that directly influence product innovation, customer success, and business growth. 

You’ll collaborate closely with the founding team and leadership, gaining end-to-end ownership and the chance to bring bold, innovative ideas to life in a rapidly scaling startup environment

Key Responsibilities

• Design, develop, and maintain scalable backend systems and microservices.
• Write clean, efficient, and well-documented code in Python.
• Build and optimize RESTful APIs and WebSocket services for high performance.
• Manage and optimize MongoDB databases for speed and scalability.
• Deploy and maintain containerized applications using Docker.
• Work extensively with AWS services (EC2, ALB, S3, Route 53) for robust cloud infrastructure.
• Implement and maintain CI/CD pipelines for smooth and automated deployments.
• Collaborate closely with frontend engineers, product managers, and leadership on architecture and feature planning.
• Participate in sprint planning, technical discussions, and code reviews.
• Take full ownership of features, embracing uncertainty with a problem-solving mindset.

Required Skills & Qualifications

• 2–7 years of backend development experience with a proven track record of building scalable systems.
• Strong proficiency in Python and its ecosystem.
• Hands-on experience with MongoDB, Docker, and Microservice Architecture.
• Practical experience with AWS services (EC2, ALB, S3, Route 53).
• Familiarity with CI/CD tools and deployment best practices.
• Strong understanding of REST API design principles and WebSocket communication.
• Excellent knowledge of data structures, algorithms, and performance optimization.
• Strong communication skills and ability to work in a collaborative, fast-paced environment.

What We Value

• Excitement to work on cutting-edge technology and platforms , helping redefine how businesses engage and convert customers.
• Thrives in a dynamic startup environment that values diversity, rapid innovation, and a growth mindset—adapting to change, challenging the status quo, and making a real impact.
• Passion for ownership beyond coding, contributing to product strategy and innovation.

Why Join Pepsales?

• Direct access to founders and a voice in high-impact decisions.
• Opportunity to shape a next-gen AI SaaS product transforming sales worldwide.
• Exposure to cutting-edge technologies in a rapidly growing startup.
• Ownership-driven culture with fast career growth and learning opportunities.
• A collaborative, innovation-driven environment that values creativity and problem-solving.

Job Title: Java Spring Boot Engineer

📍 Location: Bangalore

🧾 Experience: 3–4 Years

📝 Employment Type: Contract (1 Year + Extendable)

Required Skills & Qualifications:

• Strong expertise in Java, Spring Boot, and backend development.
• Hands-on experience with PHP.
• Good understanding of data structures and algorithms.
• Experience with GraphQL and RESTful APIs.
• Proficiency in working with SQL & NoSQL databases.
• Experience using Git for version control.
• Familiarity with CI/CD pipelines, Docker, Kubernetes, and cloud platforms (AWS, Azure).
• Exposure to monitoring and logging tools like Grafana, New Relic, and Splunk.
• Strong problem-solving skills and ability to work in a collaborative team environment.

Role overview:

• Must have About 5 - 11 years and at least 3 years relevant experience with Bigdata. 
• Must have Experience in building highly scalable business applications, which involve implementing large complex business flows and dealing with huge amounts of data. 
• Must have experience in Hadoop, Hive, Spark with Scala with good experience in performance tuning and debugging issues.
• Good to have any stream processing Spark/Java Kafka. 
• Must have experience in design and development of Big data projects.
• Good knowledge in Functional programming and OOP concepts, SOLID principles, design patterns for developing scalable applications. 
• Familiarity with build tools like Maven. 
• Must have experience with any RDBMS and at least one SQL database preferably PostgresSQL
• Must have experience writing unit and integration tests using scaliest
• Must have experience using any versioning control system - Git 
• Must have experience with CI / CD pipeline – Jenkins is a plus  
• Basic hands-on experience in one of the cloud provider (AWS/Azure) is a plus
• Databricks Spark certification is a plus.

What would you do here:

As a Software Development Engineer 2 you will be responsible for expanding and optimising our data and data pipeline architecture as well as optimising data flow and collection for cross-functional teams. The ideal candidate is an experienced data pipeline design and data wrangler who enjoys optimising data systems and building them from the ground up. The Data Engineer will lead our software developers on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They must be self-directed and comfortable supporting the data needs of multiple teams, systems and products. The right candidate will be excited by the prospect of optimising or even re-designing our company’s data architecture to support our next generation of products and data initiatives.

Responsibilities:

•Create and maintain optimal data pipeline architecture

•Assemble large complex data sets that meet functional / non-functional business requirements.

•Identify design and implement internal process improvements: automating manual processes optimising data delivery, coordinating to re-design infrastructure for greater scalability etc.

•Work with stakeholders including the Executive Product Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.

•Keep our data separated and secure

•Work with data and analytics experts to strive for greater functionality in our data systems.

- Support PROD systems

Salary (Lacs): Up to 22 LPA

Required Qualifications

•   4–7 years of total experience, with a minimum of 4 years in a full-time DevOps role

•   Hands-on experience with major cloud platforms (GCP, AWS, Azure, OCI), more than one will be a plus

•   Proficient in Kubernetes administration and container technologies (Docker, containerd)

•   Strong Linux fundamentals

•   Scripting skills in Python and shell scripting

•   Knowledge of infrastructure as code with hands-on experience in Terraform and/or Pulumi (mandatory)

•   Experience in maintaining and troubleshooting production environments

•   Solid understanding of CI/CD concepts with hands-on experience in tools like Jenkins, GitLab CI, GitHub Actions, ArgoCD, Devtron, GCP Cloud Build, or Bitbucket Pipelines

If Interested kindly share your updated resume on 82008 31681

Responsibilities:

• Work as part of a collaborative, agile team to deliver industry-leading engagement capabilities on the web.
• Integrate with other services to help the client seamlessly provide value to more companies.
• Design and develop feature enhancements that continue to deliver value and provide an excellent customer experience.
• Troubleshoot and resolve emergency server or code issues at any stack level.

Requirements:

• Ability to empathize with end-users; build with scale and ease of adoption in mind.
• Experience building in an agile setting with code reviews and quality as a priority.
• Strong design skills for separation and modularity of code; aversion to overly complex, spaghetti code.
• A bachelor's degree in Computer Science, related technical field, or commensurate experience.
• 3 years experience in production web application development.
• 5 years of experience working with NodeJS or an equivalent web framework and language.
• Experience writing JavaScript code, either vanilla JS or using a framework such as Node.js or React, or Redux.
• Unit testing experience (Jest).
• 3rd-party API usage and integration experience.
• RDBMS usage (e. g., MySQL, PostgreSQL).

Interview Process:

• Introductory Round
• Technical Round - Algo/low level coding round based on real world scenario
• Technical Round - System Design or High level design coding round and AWS
• Offer discussion

🚀 Hiring: Automation Tester

⭐ Experience: 6+ Years

📍 Location: Bangalore

⭐ Work Mode:- Hybrid

⏱️ Notice Period: Immediate Joiners

(Only immediate joiners & candidates serving notice period)

We’re looking for a skilled Automation Tester with a strong background in Java, Selenium, and AWS to join our growing QA team. If you're passionate about automation, love solving problems, and thrive in a dynamic environment, we’d love to hear from you!

Must-Have Skills:

✅ Strong hands-on experience in Automation Testing

✅ Proficiency in Java for writing test scripts

✅ Expertise in Selenium WebDriver

✅ Working knowledge of AWS services relevant to test environments

✅ Solid understanding of the SDLC and Agile methodologies