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About Borderless Access
Borderless Access is a company that believes in fostering a culture of innovation and collaboration to build and deliver digital-first products for market research methodologies. This enables our customers to stay ahead of their competition.
We are committed to becoming the global leader in providing innovative digital offerings for consumers backed by advanced analytics, AI, ML, and cutting-edge technological capabilities.
Our Borderless Product Innovation and Operations team is dedicated to creating a top-tier market research platform that will drive our organization's growth. To achieve this, we're embracing modern technologies and a cutting-edge tech stack for faster, higher-quality product development.
The Product Development team is the core of our strategy, fostering collaboration and efficiency. If you're passionate about innovation and eager to contribute to our rapidly evolving market research domain, we invite you to join our team.
Key Responsibilities
- Lead, mentor, and grow a cross-functional team of engineers specializing.
- Foster a culture of collaboration, accountability, and continuous learning.
- Oversee the design and development of robust platform architecture with a focus on scalability, security, and maintainability.
- Establish and enforce engineering best practices including code reviews, unit testing, and CI/CD pipelines.
- Promote clean, maintainable, and well-documented code across the team.
- Lead architectural discussions and technical decision-making, with clear and concise documentation for software components and systems.
- Collaborate with Product, Design, and other stakeholders to define and prioritize platform features.
- Track and report on key performance indicators (KPIs) such as velocity, code quality, deployment frequency, and incident response times.
- Ensure timely delivery of high-quality software aligned with business goals.
- Work closely with DevOps to ensure platform reliability, scalability, and observability.
- Conduct regular 1:1s, performance reviews, and career development planning.
- Conduct code reviews and provide constructive feedback to ensure code quality and maintainability.
- Participate in the entire software development lifecycle, from requirements gathering to deployment and maintenance.
Added Responsibilities
- Defining and adhering to the development process.
- Taking part in regular external audits and maintaining artifacts.
- Identify opportunities for automation to reduce repetitive tasks.
- Mentor and coach team members in the teams.
- Continuously optimize application performance and scalability.
- Collaborate with the Marketing team to understand different user journeys.
Growth and Development
The following are some of the growth and development activities that you can look forward to at Borderless Access as an Engineering Manager:
- Develop leadership skills – Enhance your leadership abilities through workshops or coaching from Senior Leadership and Executive Leadership.
- Foster innovation – Become part of a culture of innovation and experimentation within the product development and operations team.
- Drive business objectives – Become part of defining and taking actions to meet the business objectives.
About You
- Bachelor's degree in Computer Science, Engineering, or a related field.
- 8+ years of experience in software development.
- Experience with microservices architecture and container orchestration.
- Excellent problem-solving and analytical skills.
- Strong communication and collaboration skills.
- Solid understanding of data structures, algorithms, and software design patterns.
- Solid understanding of enterprise system architecture patterns.
- Experience in managing a small to medium-sized team with varied experiences.
- Strong proficiency in back-end development, including programming languages like Python, Java, or Node.js, and frameworks like Spring or Express.
- Strong proficiency in front-end development, including HTML, CSS, JavaScript, and popular frameworks like React or Angular.
- Experience with databases (e.g., MySQL, PostgreSQL, MongoDB).
- Experience with cloud platforms AWS, Azure, or GCP (preferred is Azure).
- Knowledge of containerization technologies Docker and Kubernetes.
Position Title - System Engineer Backup & Storage
Job Location - Bommasandra Industrial Area, Hosur Main Road, Bangalore
Working Days - Hybrid: 3 days WFO and 2 days WFH
Years of Experience - 3 to 5 yrs
Must-Have Skills
- Minimum 1 year experience with Veeam backup
- Scripting or Automation tools such as PowerShell or Python
- 2 years’ experience with enterprise storage solutions
- 2 years’ experience with Linux-based operating systems
- Must have experience with back up of VM Ware
Good-to-Have Skills
- Strong expertise in Commvault
- Scripting or Automation tools such as PowerShell or Python
Your job:
- Operate and maintain the backup environment using Veeam and Commvault, including backups, restore tests, retention policies, troubleshooting, and continuous improvements
- Implement and manage backup and recovery measures to ensure data integrity, availability, and security of critical system
- Operate and maintain global storage solutions including NetApp and IBM platforms, covering availability, performance monitoring, and capacity management
- Monitor and analyze backup, storage, and system performance to identify optimization and automation opportunities
- Propose and implement enhancements across backup, storage, virtualization, and hybrid infrastructure technologies to improve efficiency and reliability
- Maintain accurate documentation and generate reports covering configurations, procedures, performance metrics, and capacity planning.
Your qualifications:
- Bachelor’s degree in computer science, Information Technology, or a related field
- Minimum 1 year experience with Veeam backup,
- 2 years’ experience with enterprise storage solutions,
- 2 years’ experience with Linux-based operating systems
- Strong expertise in Commvault, NetApp, IBM Storage systems (including IBM SVC), Fibre Channel environments on Brocade devices, hybrid cloud architectures, networking concepts, SAN/NAS, deduplication, tiering, vSphere, and scripting or automation tools such as PowerShell or Python
- Proficiency in Linux administration, backup and storage platforms, virtualization environments, and monitoring tools
- Very good written and spoken English communication skills.
Drive the design, automation, and reliability of Albert Invent’s core platform to support scalable, high-performance AI applications.
You will partner closely with Product Engineering and SRE teams to ensure security, resiliency, and developer productivity while owning end-to-end service operability.
Key Responsibilities
- Own the design, reliability, and operability of Albert’s mission-critical platform.
- Work closely with Product Engineering and SRE to build scalable, secure, and high-performance services.
- Plan and deliver core platform capabilities that improve developer velocity, system resilience, and scalability.
- Maintain a deep understanding of microservices topology, dependencies, and behavior.
- Act as the technical authority for performance, reliability, and availability across services.
- Drive automation and orchestration across infrastructure and operations.
- Serve as the final escalation point for complex or undocumented production issues.
- Lead root-cause analysis, mitigation strategies, and long-term system improvements.
- Mentor engineers in building robust, automated, and production-grade systems.
- Champion best practices in SRE, reliability, and platform engineering.
Must-Have Requirements
- Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.
- 4+ years of strong backend coding in Python or Node.js.
- 4+ years of overall software engineering experience, including 2+ years in an SRE / automation-focused role.
- Strong hands-on experience with Infrastructure as Code (Terraform preferred).
- Deep experience with AWS cloud infrastructure and distributed systems (microservices, APIs, service-to-service communication).
- Experience with observability systems – logs, metrics, and tracing.
- Experience using CI/CD pipelines (e.g., CircleCI).
- Performance testing experience using K6 or similar tools.
- Strong focus on automation, standards, and operational excellence.
- Experience building low-latency APIs (< 200ms response time).
- Ability to work in fast-paced, high-ownership environments.
- Proven ability to lead technically, mentor engineers, and influence engineering quality.
Good-to-Have Skills
- Kubernetes and container orchestration experience.
- Observability tools such as Prometheus, Grafana, OpenTelemetry, Datadog.
- Experience building Internal Developer Platforms (IDPs) or reusable engineering frameworks.
- Exposure to ML infrastructure or data engineering pipelines.
- Experience working in compliance-driven environments (SOC2, HIPAA, etc.).
To lead the design, development, and optimization of high-scale search and discovery systems
leveraging deep expertise in OpenSearch. The Search Staff Engineer will enhance search
relevance, query performance, and indexing efficiency by utilizing OpenSearch’s full-text, vector
search, and analytics capabilities. This role focuses on building real-time search pipelines,
implementing advanced ranking models, and architecting distributed indexing solutions to
deliver a high-performance, scalable, and intelligent search experience.
Responsibilities:
• Architect, develop, and maintain a scalable OpenSearch-based search infrastructure for high-traffic applications.
• Optimize indexing strategies, sharding, replication, and query execution to improve search performance and reliability.
• Implement cross-cluster search, multi-tenant search solutions, and real-time search capabilities.
• Ensure efficient log storage, retention policies, and lifecycle management in OpenSearch.
• Monitor and troubleshoot performance bottlenecks, ensuring high availability and resilience.
• Design and implement real-time and batch indexing pipelines for structured and unstructured data.
• Optimize schema design, field mappings, and tokenization strategies for improved search performance.
• Manage custom analyzers, synonyms, stopwords, and stemming filters for multilingual search.
• Ensure search infrastructure adheres to security best practices, including encryption,
access control, and audit logging.
• Optimize search for low latency, high throughput, and cost efficiency.
• Collaborate cross-functionally with engineering, product, and operations teams to ensure seamless platform delivery.
• Define and communicate a strategic roadmap for Search initiatives aligned with business goals.
• Work closely with stakeholders to understand database requirements and provide technical solutions.
Requirements:
• 4+ years of experience in search engineering, with at least 3+ years of deep experience in OpenSearch.
• Strong expertise in search indexing, relevance tuning, ranking algorithms, and query parsing.
• Hands-on experience with OpenSearch configurations, APIs, shards, replicas, and cluster scaling.
• Strong programming skills in Node.js and Python and experience with OpenSearch SDKs.
• Proficiency in REST APIs, OpenSearch DSL queries, and aggregation frameworks.
• Knowledge of observability, logging, and monitoring tools (Prometheus, OpenTelemetry, Grafana).
• Experience managing OpenSearch clusters on AWS OpenSearch, Containers, or self- hosted environments.
• Strong understanding of security best practices, role-based access control (RBAC), encryption, and IAM.
• Familiarity with multi-region, distributed search architectures.
• Strong analytical and debugging skills, with a proactive approach to identifying and mitigating risks.
• Exceptional communication skills, with the ability to influence and drive consensus among stakeholders.
JOB DETAILS:
- Job Title: Senior Devops Engineer 2
- Industry: Ride-hailing
- Experience: 5-7 years
- Working Days: 5 days/week
- Work Mode: ONSITE
- Job Location: Bangalore
- CTC Range: Best in Industry
Required Skills: Cloud & Infrastructure Operations, Kubernetes & Container Orchestration, Monitoring, Reliability & Observability, Proficiency with Terraform, Ansible etc., Strong problem-solving skills with scripting (Python/Go/Shell)
Criteria:
1. Candidate must be from a product-based or scalable app-based start-ups company with experience handling large-scale production traffic.
2. Minimum 5 yrs of experience working as a DevOps/Infrastructure Consultant
3. Own end-to-end infrastructure right from non-prod to prod environment including self-managed
4. Candidate must have experience in database migration from scratch
5. Must have a firm hold on the container orchestration tool Kubernetes
6. Must have expertise in configuration management tools like Ansible, Terraform, Chef / Puppet
7. Understanding programming languages like GO/Python, and Java
8. Working on databases like Mongo/Redis/Cassandra/Elasticsearch/Kafka.
9. Working experience on Cloud platform - AWS
10. Candidate should have Minimum 1.5 years stability per organization, and a clear reason for relocation.
Description
Job Summary:
As a DevOps Engineer at company, you will be working on building and operating infrastructure at scale, designing and implementing a variety of tools to enable product teams to build and deploy their services independently, improving observability across the board, and designing for security, resiliency, availability, and stability. If the prospect of ensuring system reliability at scale and exploring cutting-edge technology to solve problems, excites you, then this is your fit.
Job Responsibilities:
● Own end-to-end infrastructure right from non-prod to prod environment including self-managed DBs
● Codify our infrastructure
● Do what it takes to keep the uptime above 99.99%
● Understand the bigger picture and sail through the ambiguities
● Scale technology considering cost and observability and manage end-to-end processes
● Understand DevOps philosophy and evangelize the principles across the organization
● Strong communication and collaboration skills to break down the silos
Job Requirements:
● B.Tech. / B.E. degree in Computer Science or equivalent software engineering degree/experience
● Minimum 5 yrs of experience working as a DevOps/Infrastructure Consultant
● Must have a firm hold on the container orchestration tool Kubernetes
● Must have expertise in configuration management tools like Ansible, Terraform, Chef / Puppet
● Strong problem-solving skills, and ability to write scripts using any scripting language
● Understanding programming languages like GO/Python, and Java
● Comfortable working on databases like Mongo/Redis/Cassandra/Elasticsearch/Kafka.
What’s there for you?
Company’s team handles everything – infra, tooling, and self-manages a bunch of databases, such as
● 150+ microservices with event-driven architecture across different tech stacks Golang/ java/ node
● More than 100,000 Request per second on our edge gateways
● ~20,000 events per second on self-managed Kafka
● 100s of TB of data on self-managed databases
● 100s of real-time continuous deployment to production
● Self-managed infra supporting
● 100% OSS
JOB DETAILS:
- Job Title: Lead DevOps Engineer
- Industry: Ride-hailing
- Experience: 6-9 years
- Working Days: 5 days/week
- Work Mode: ONSITE
- Job Location: Bangalore
- CTC Range: Best in Industry
Required Skills: Cloud & Infrastructure Operations, Kubernetes & Container Orchestration, Monitoring, Reliability & Observability, Proficiency with Terraform, Ansible etc., Strong problem-solving skills with scripting (Python/Go/Shell)
Criteria:
1. Candidate must be from a product-based or scalable app-based start-ups company with experience handling large-scale production traffic.
2. Minimum 6 yrs of experience working as a DevOps/Infrastructure Consultant
3. Candidate must have 2 years of experience as an lead (handling team of 3 to 4 members at least)
4. Own end-to-end infrastructure right from non-prod to prod environment including self-managed
5. Candidate must have Self experience in database migration from scratch
6. Must have a firm hold on the container orchestration tool Kubernetes
7. Should have expertise in configuration management tools like Ansible, Terraform, Chef / Puppet
8. Understanding programming languages like GO/Python, and Java
9. Working on databases like Mongo/Redis/Cassandra/Elasticsearch/Kafka.
10. Working experience on Cloud platform -AWS
11. Candidate should have Minimum 1.5 years stability per organization, and a clear reason for relocation.
Description
Job Summary:
As a DevOps Engineer at company, you will be working on building and operating infrastructure at scale, designing and implementing a variety of tools to enable product teams to build and deploy their services independently, improving observability across the board, and designing for security, resiliency, availability, and stability. If the prospect of ensuring system reliability at scale and exploring cutting-edge technology to solve problems, excites you, then this is your fit.
Job Responsibilities:
● Own end-to-end infrastructure right from non-prod to prod environment including self-managed DBs
● Codify our infrastructure
● Do what it takes to keep the uptime above 99.99%
● Understand the bigger picture and sail through the ambiguities
● Scale technology considering cost and observability and manage end-to-end processes
● Understand DevOps philosophy and evangelize the principles across the organization
● Strong communication and collaboration skills to break down the silos
Job Requirements:
● B.Tech. / B.E. degree in Computer Science or equivalent software engineering degree/experience
● Minimum 6 yrs of experience working as a DevOps/Infrastructure Consultant
● Must have a firm hold on the container orchestration tool Kubernetes
● Must have expertise in configuration management tools like Ansible, Terraform, Chef / Puppet
● Strong problem-solving skills, and ability to write scripts using any scripting language
● Understanding programming languages like GO/Python, and Java
● Comfortable working on databases like Mongo/Redis/Cassandra/Elasticsearch/Kafka.
What’s there for you?
Company’s team handles everything – infra, tooling, and self-manages a bunch of databases, such as
● 150+ microservices with event-driven architecture across different tech stacks Golang/ java/ node
● More than 100,000 Request per second on our edge gateways
● ~20,000 events per second on self-managed Kafka
● 100s of TB of data on self-managed databases
● 100s of real-time continuous deployment to production
● Self-managed infra supporting
● 100% OSS
JOB DETAILS:
- Job Title: Senior Devops Engineer 1
- Industry: Ride-hailing
- Experience: 4-6 years
- Working Days: 5 days/week
- Work Mode: ONSITE
- Job Location: Bangalore
- CTC Range: Best in Industry
Required Skills: Cloud & Infrastructure Operations, Kubernetes & Container Orchestration, Monitoring, Reliability & Observability, Proficiency with Terraform, Ansible etc., Strong problem-solving skills with scripting (Python/Go/Shell)
Criteria:
1. Candidate must be from a product-based or scalable app-based startups company with experience handling large-scale production traffic.
2. Candidate must have strong Linux expertise with hands-on production troubleshooting and working knowledge of databases and middleware (Mongo, Redis, Cassandra, Elasticsearch, Kafka).
3. Candidate must have solid experience with Kubernetes.
4. Candidate should have strong knowledge of configuration management tools like Ansible, Terraform, and Chef / Puppet. Add on- Prometheus & Grafana etc.
5. Candidate must be an individual contributor with strong ownership.
6. Candidate must have hands-on experience with DATABASE MIGRATIONS and observability tools such as Prometheus and Grafana.
7. Candidate must have working knowledge of Go/Python and Java.
8. Candidate should have working experience on Cloud platform - AWS
9. Candidate should have Minimum 1.5 years stability per organization, and a clear reason for relocation.
Description
Job Summary:
As a DevOps Engineer at company, you will be working on building and operating infrastructure at scale, designing and implementing a variety of tools to enable product teams to build and deploy their services independently, improving observability across the board, and designing for security, resiliency, availability, and stability. If the prospect of ensuring system reliability at scale and exploring cutting-edge technology to solve problems, excites you, then this is your fit.
Job Responsibilities:
- Own end-to-end infrastructure right from non-prod to prod environment including self-managed DBs.
- Understanding the needs of stakeholders and conveying this to developers.
- Working on ways to automate and improve development and release processes.
- Identifying technical problems and developing software updates and ‘fixes’.
- Working with software developers to ensure that development follows established processes and works as intended.
- Do what it takes to keep the uptime above 99.99%.
- Understand DevOps philosophy and evangelize the principles across the organization.
- Strong communication and collaboration skills to break down the silos
Job Requirements:
- B.Tech. / B.E. degree in Computer Science or equivalent software engineering degree/experience.
- Minimum 4 yrs of experience working as a DevOps/Infrastructure Consultant.
- Strong background in operating systems like Linux.
- Understands the container orchestration tool Kubernetes.
- Proficient Knowledge of configuration management tools like Ansible, Terraform, and Chef / Puppet. Add on- Prometheus & Grafana etc.
- Problem-solving attitude, and ability to write scripts using any scripting language.
- Understanding programming languages like GO/Python, and Java.
- Basic understanding of databases and middlewares like Mongo/Redis/Cassandra/Elasticsearch/Kafka.
- Should be able to take ownership of tasks, and must be responsible. - Good communication skills
JOB DETAILS:
- Job Title: Senior Business Analyst
- Industry: Ride-hailing
- Experience: 4-7 years
- Working Days: 5 days/week
- Work Mode: ONSITE
- Job Location: Bangalore
- CTC Range: Best in Industry
Required Skills: Data Visualization, Data Analysis, Strong in Python and SQL, Cross-Functional Communication & Stakeholder Management
Criteria:
1. Candidate must have 4–7 years of experience in analytics / business analytics roles.
2. Candidate must be currently based in Bangalore only (no relocation allowed).
3. Candidate must have hands-on experience with Python and SQL.
4. Candidate must have experience working with databases/APIs (Mongo, Presto, REST or similar).
5. Candidate must have experience building dashboards/visualizations (Tableau, Metabase or similar).
6. Candidate must be available for face-to-face interviews in Bangalore.
7. Candidate must have experience working closely with business, product, and operations teams.
Description
Job Responsibilities:
● Acquiring data from primary/secondary data sources like mongo/presto/Rest APIs.
● Candidate must have strong hands-on experience in Python and SQL.
● Build visualizations to communicate data to key decision-makers and preferably familiar with building interactive dashboards in Tableau/Metabase
● Establish relationship between output metric and its drivers in order to identify critical drivers and control the critical drivers so as to achieve the desired value of output metric
● Partner with operations/business teams to consult, develop and implement KPIs, automated reporting/process solutions, and process improvements to meet business needs
● Collaborating with our business owners + product folks and perform data analysis of experiments and recommend the next best action for the business. Involves being embedded into business decision teams for driving faster decision making
● Collaborating with several functional teams within the organization and use raw data and metrics to back up assumptions, develop hypothesis/business cases and complete root cause analyses; thereby delivering output to business users
Job Requirements:
● Undergraduate and/or graduate degree in Math, Economics, Statistics, Engineering, Computer Science, or other quantitative field.
● Around 4-6 years of experience being embedded in analytics and adjacent business teams working as analyst aiding decision making
● Proficiency in Excel and ability to structure and present data in creative ways to drive insights
● Some basic understanding of (or experience in) evaluating financial parameters like return-on-investment (ROI), cost allocation, optimization, etc. is good to have
👉 ● Candidate must have strong hands-on experience in Python and SQL.
What’s there for you?
● Opportunity to understand the overall business & collaborate across all functional departments
● Prospect to disrupt the existing mobility industry business models (ideate, pilot, monitor & scale)
● Deal with the ambiguity of decision making while balancing long-term/strategic business needs and short-term/tactical moves
● Full business ownership working style which translates to freedom to pick problem statements/workflow and self-driven culture
About the role
We are looking for an experienced AWS Cloud Engineer with strong Java and Python/Golang expertise to design, modernize, and migrate applications and infrastructure to AWS. The ideal candidate will have hands-on experience with cloud-native development, Java application modernization, and end-to-end AWS migrations, with a strong focus on scalability, security, performance, and cost optimization.
This role involves working across application migration, cloud-native development, and infrastructure automation, collaborating closely with DevOps, security, and product teams.
Key Responsibilities
- Lead and execute application and infrastructure migrations from on-premises or other cloud platforms to AWS
- Assess legacy Java-based applications and define migration strategies (rehost, re-platform, refactor)
- Design and develop cloud-native applications and services using Java, Python, or Golang
- Modify and optimize applications for AWS readiness and scalability
- Design and implement AWS-native architectures ensuring high availability, security, and cost efficiency
- Build and maintain serverless and containerized solutions on AWS
- Develop RESTful APIs and microservices for system integrations
- Implement Infrastructure as Code (IaC) using CloudFormation, Terraform, or AWS CDK
- Support and improve CI/CD pipelines for deployment and migration activities
- Plan and execute data migration, backup, and disaster recovery strategies
- Monitor, troubleshoot, and resolve production and migration-related issues with minimal downtime
- Ensure adherence to AWS security best practices, governance, and compliance standards
- Create and maintain architecture diagrams, runbooks, and migration documentation
- Perform post-migration validation, performance tuning, and optimization
Required Skills & Experience
- 5–10 years of overall IT experience with strong AWS exposure
- Hands-on experience with AWS services, including:
- EC2, Lambda, S3, RDS
- ECS / EKS, API Gateway
- VPC, Subnets, Route Tables, Security Groups
- IAM, Load Balancers (ALB/NLB), Auto Scaling
- CloudWatch, SNS, CloudTrail
- Strong development experience in Java (8+), Python, or Golang
- Experience migrating Java applications (Spring / Spring Boot preferred)
- Strong understanding of cloud-native, serverless, and microservices architectures
- Experience with CI/CD tools (Jenkins, GitHub Actions, GitLab CI, etc.)
- Hands-on experience with Linux/UNIX environments
- Proficiency with Git-based version control
- Strong troubleshooting, analytical, and problem-solving skills
Good to Have / Nice to Have
- Experience with Docker and Kubernetes (EKS)
- Knowledge of application modernization patterns
- Experience with Terraform, CloudFormation, or AWS CDK
- Database experience: MySQL, PostgreSQL, Oracle, DynamoDB
- Understanding of the AWS Well-Architected Framework
- Experience in large-scale or enterprise migration programs
- AWS Certifications (Developer Associate, Solutions Architect, or Professional)
Education
- Bachelor’s degree in Computer Science, Engineering, or a related field
Company Description
Appiness Interactive Pvt. Ltd. is a Bangalore-based product development and UX firm that specializes in digital services for startups to fortune-500s. We work closely with our clients to create a comprehensive soul for their brand in the online world, engaged through multiple platforms of digital media. Our team is young, passionate, and aggressive, not afraid to think out of the box or tread the un-trodden path in order to deliver the best results for our clients. We pride ourselves on Practical Creativity where the idea is only as good as the returns it fetches for our clients.
Position Overview:
Senior backend engineering role focused on building and operating ML-backed backend systems powering a large-scale AI product. This is a core foundation/platform role with end-to-end system ownership in a fast-moving, ambiguous environment within a high-intent foundation
engineering pod of 10 engineers.
Key Responsibilities:
● Design, build, and operate ML-backed backend systems at scale
● Own runtime orchestration, session/state management, and retrieval/memory pipelines (chunking, embeddings, indexing, vector search, re-ranking, caching, freshness & deletion)
● Productionize ML workflows: feature/metadata services, model integration contracts, offline/online parity, and evaluation instrumentation
● Drive performance, reliability, and cost efficiency across latency, throughput, infra usage,
and token economics
● Build observability-first systems with tracing, metrics, logs, guardrails, and fallback paths
● Partner closely with applied ML teams on prompt/tool schemas, routing, evaluation
datasets, and safe releases
● Ship independently and own systems end-to-end
Required Skills:
● 6+ years of backend/platform engineering experience
● Strong experience building distributed, production-grade systems
● Hands-on exposure to ML-adjacent systems (serving, retrieval, orchestration, inference pipelines)
● Proven ownership of reliability, performance, and cost optimization in production
● Must be based in Mumbai or Bangalore
● Ability to work mandatory in-office
Preferred (Bonus) Skills:
● Experience with greenfield AI platform development
● Already based in Mumbai
● Experience working with US enterprise clients
● Foundation/platform engineering background
Job Title : Senior Software Engineer (Full Stack — AI/ML & Data Applications)
Experience : 5 to 10 Years
Location : Bengaluru, India
Employment Type : Full-Time | Onsite
Role Overview :
We are seeking a Senior Full Stack Software Engineer with strong technical leadership and hands-on expertise in AI/ML, data-centric applications, and scalable full-stack architectures.
In this role, you will design and implement complex applications integrating ML/AI models, lead full-cycle development, and mentor engineering teams.
Mandatory Skills :
Full Stack Development (React/Angular/Vue + Node.js/Python/Java), Data Engineering (Spark/Kafka/ETL), ML/AI Model Integration (TensorFlow/PyTorch/scikit-learn), Cloud & DevOps (AWS/GCP/Azure, Docker, Kubernetes, CI/CD), SQL/NoSQL Databases (PostgreSQL/MongoDB).
Key Responsibilities :
- Architect, design, and develop scalable full-stack applications for data and AI-driven products.
- Build and optimize data ingestion, processing, and pipeline frameworks for large datasets.
- Deploy, integrate, and scale ML/AI models in production environments.
- Drive system design, architecture discussions, and API/interface standards.
- Ensure engineering best practices across code quality, testing, performance, and security.
- Mentor and guide junior developers through reviews and technical decision-making.
- Collaborate cross-functionally with product, design, and data teams to align solutions with business needs.
- Monitor, diagnose, and optimize performance issues across the application stack.
- Maintain comprehensive technical documentation for scalability and knowledge-sharing.
Required Skills & Experience :
- Education : B.E./B.Tech/M.E./M.Tech in Computer Science, Data Science, or equivalent fields.
- Experience : 5+ years in software development with at least 2+ years in a senior or lead role.
- Full Stack Proficiency :
- Front-end : React / Angular / Vue.js
- Back-end : Node.js / Python / Java
- Data Engineering : Experience with data frameworks such as Apache Spark, Kafka, and ETL pipeline development.
- AI/ML Expertise : Practical exposure to TensorFlow, PyTorch, or scikit-learn and deploying ML models at scale.
- Databases : Strong knowledge of SQL & NoSQL systems (PostgreSQL, MongoDB) and warehousing tools (Snowflake, BigQuery).
- Cloud & DevOps : Working knowledge of AWS, GCP, or Azure; containerization & orchestration (Docker, Kubernetes); CI/CD; MLflow/SageMaker is a plus.
- Visualization : Familiarity with modern data visualization tools (D3.js, Tableau, Power BI).
Soft Skills :
- Excellent communication and cross-functional collaboration skills.
- Strong analytical mindset with structured problem-solving ability.
- Self-driven with ownership mentality and adaptability in fast-paced environments.
Preferred Qualifications (Bonus) :
- Experience deploying distributed, large-scale ML or data-driven platforms.
- Understanding of data governance, privacy, and security compliance.
- Exposure to domain-driven data/AI use cases in fintech, healthcare, retail, or e-commerce.
- Experience working in Agile environments (Scrum/Kanban).
- Active open-source contributions or a strong GitHub technical portfolio.
Lead AI Engineer
Location: Bengaluru, Hybrid | Type: Full-time
About Newpage Solutions
Newpage Solutions is a global digital health innovation company helping people live longer, healthier lives. We partner with life sciences organisations—which include pharmaceutical, biotech, and healthcare leaders—to build transformative AI and data-driven technologies addressing real-world health challenges.
From strategy and research to UX design and agile development, we deliver and validate impactful solutions using lean, human-centered practices.
We are proud to be a ‘Great Place to Work®’ certified company for the last three consecutive years. We also hold a top Glassdoor rating and are named among the "Top 50 Most Promising Healthcare Solution Providers" by CIOReview.
As an organisation, we foster creativity, continuous learning, and inclusivity, creating an environment where bold ideas thrive and make a measurable difference in people’s lives.
Your Mission
We’re seeking a highly experienced, technically exceptional Lead AI Engineer to architect and deliver next-generation Generative AI and Agentic systems. You will drive end-to-end innovation, from model selection and orchestration design to scalable backend implementation, all while collaborating with cross-functional teams to transform AI research into production-ready solutions.
This is an individual-contributor leadership role for someone who thrives on ownership, fast execution, and technical excellence. You will define the standards for quality, scalability, and innovation across all AI initiatives.
What You’ll Do
Develop AI Applications & Agentic Systems
- Architect, build, and optimise production-grade Generative AI and agentic applications using frameworks such as LangChain, LangGraph, LlamaIndex, Semantic Kernel, n8n, Pydantic AI or custom orchestration layers integrating with LLMs such as GPT, Claude, Gemini as well as self-hosted LLMs along with MCP integrations.
- Implement Retrieval-Augmented Generation (RAG) techniques leveraging vector databases (Pinecone, ChromaDB, Weaviate, pgvector, etc.) and search engines such as ElasticSearch / Solr using both TF/IDF BM25-based full-text search and similarity search techniques.
- Implement guardrails, observability, fine-tune and train models for industry or domain-specific use cases.
- Build multi-modal workflows using text, image, voice, and video.
- Design robust prompt & context engineering frameworks to improve accuracy, repeatability, quality, cost, and latency.
- Build supporting microservices and modular backends using Python, JavaScript, or Java aligned with domain-driven design, SOLID principles, OOP, and clean architecture, using various databases including relational, document, Key-Value, Graph, and event-driven systems using Kafka / MSK, SQS, etc.
- Deploy cloud-native applications in hyper-scalers such as AWS / GCP / Azure using containerisation and orchestration with Docker / Kubernetes or serverless architecture.
- Apply industry best engineering practices: TDD, well-structured and clean code with linting, domain-driven design, security-first design (secrets management, rotation, SAST, DAST), comprehensive observability (structured logging, metrics, tracing), containerisation & orchestration (Docker, Kubernetes), automated CI/CD pipelines (GitHub Actions, Jenkins).
AI-Assisted Development, Context Engineering & Innovation
- Use AI-assisted development tools such as Claude Code, GitHub Copilot, Codex, Roo Code, Cursor to accelerate development while maintaining code quality and maintainability.
- Utilise coding assistant tools with native instructions, templates, guides, workflows, sub-agents, and more to create developer workflows that improve development velocity, standardisation, and reliability across AI teams.
- Ensure industry best practices to develop well-structured code that is testable, maintainable, performant, scalable, and secure.
- Partner with Product, Design, and ML teams to translate conceptual AI features into scalable user-facing products.
- Provide technical mentorship and guide team members in system design, architecture reviews, and AI best practices.
- Lead POCs, internal research experiments, and innovation sprints to explore and validate emerging AI techniques.
What You Bring
- 7–12 years of total experience in software development, with at least 3 years in AI/ML systems engineering or Generative AI.
- Experience with cloud-native deployments and services in AWS / GCP / Azure, with the ability to architect distributed systems.
- A ‘no-compromise’ attitude with engineering best practices such as clean code, TDD, containerisation, security, CI/CD, scalability, performance, and cost optimisation.
- Active user of AI-assisted development tools (Claude Code, GitHub Copilot, Cursor) with demonstrable experience using structured workflows and sub-agents.
- A deep understanding of LLMs, context engineering approaches, and best practices, with the ability to optimise accuracy, latency, and cost.
- Python or JavaScript experience with strong grasp of OOP, SOLID principles, 12-factor application development, and scalable microservice architecture.
- Proven track record developing and deploying GenAI/LLM-based systems in production.
- Advanced understanding of context engineering, prompt construction, optimisation, and evaluation techniques.
- End-to-end implementation experience using vector databases and retrieval pipelines.
- Experience with GitHub Actions, Docker, Kubernetes, and cloud-native deployments.
- Obsession with clean code, system scalability, and performance optimisation.
- Ability to balance rapid prototyping with long-term maintainability.
- Excel at working independently while collaborating effectively across teams.
- Stay ahead of the curve on new AI models, frameworks, and best practices.
- Have a founder’s mindset and love solving ambiguous, high-impact technical challenges.
- Bachelor’s or Master’s degree in Computer Science, Machine Learning, or a related technical discipline.
Bonus Skills / Experience
- Understanding of MLOps, model serving, scaling, and monitoring workflows (e.g., BentoML, MLflow, Vertex AI, AWS Sagemaker).
- Experience building streaming + batch data ingestion and transformation pipelines (Spark / Airflow / Beam).
- Mobile and front-end web application development experience.
What We Offer
- A people-first culture – Supportive peers, open communication, and a strong sense of belonging.
- Smart, purposeful collaboration – Work with talented colleagues to create technologies that solve meaningful business challenges.
- Balance that lasts – We respect your time and support a healthy integration of work and life.
- Room to grow – Opportunities for learning, leadership, and career development, shaped around you.
- Meaningful rewards – Competitive compensation that recognises both contribution and potential.
Company Description
eShipz is a rapidly expanding logistics automation platform designed to optimize shipping operations and enhance post-purchase customer experiences. The platform offers solutions such as multi-carrier integrations, real-time tracking, NDR management, returns, freight audits, and more. Trusted by over 350 businesses, eShipz provides easy-to-use analytics, automated shipping processes, and reliable customer support. As a trusted partner for eCommerce businesses and enterprises, eShipz delivers smarter, more efficient shipping solutions. Visit www.eshipz.com for more information.
Role Description
The Python Support Engineer role at eShipz requires supporting clients by providing technical solutions and resolving issues related to the platform. Responsibilities include troubleshooting reported problems, delivering technical support in a professional manner, and assisting with software functionality and operating systems. The engineer will also collaborate with internal teams to ensure a seamless customer experience. This is a full-time on-site role located in Sanjay Nagar, Greater Bengaluru Area.
Qualifications
- Strong proficiency in Troubleshooting and Technical Support skills to identify and address software or technical challenges effectively.
- Capability to provide professional Customer Support and Customer Service, ensuring high customer satisfaction and resolving inquiries promptly.
- Proficiency and knowledge of Operating Systems to diagnose and resolve platform-specific issues efficiently.
- Excellent problem-solving, communication, and interpersonal skills.
- Bachelor's degree in computer science, IT, or a related field.
- Experience working with Python and an understanding of backend systems is a plus.
- Technical Skill:
- Python Proficiency: Strong understanding of core Python (Data structures, decorators, generators, and exception handling).
- Frameworks: Familiarity with web frameworks like Django, Flask, or FastAPI.
- Databases: Proficiency in SQL (PostgreSQL/MySQL) and understanding of ORMs like SQLAlchemy or Django ORM.
- Infrastructure: Basic knowledge of Linux/Unix commands, Docker, and CI/CD pipelines (Jenkins/GitHub Actions).
- Version Control: Comfortable using Git for branching, merging, and pull requests.
- Soft Skill:
- Analytical Thinking: A logical approach to solving complex, "needle-in-a-haystack" problems.
- Communication: Ability to explain technical concepts to both developers and end-users.
- Patience & Empathy: Managing high-pressure situations when critical systems are down.
- Work Location: Sanjay Nagar, Bangalore (WFO)
- Work Timing :
- Mon - Fri (WFO)(9:45 A.M. - 6: 15 P.M.)
- 1st & 3rd SAT (WFO)(9:00 A.M. - 2:00 P.M.)
- 2nd & 4th SAT (WFH)(9:00 A.M. - 2:00 P.M.)
Location : Bengaluru, India
Type : Full-time
Experience :4-7 Years
Mode :Hybrid
The Role
We're looking for a Full Stack Engineer who thrives on building high-performance applications at scale. You'll work across our entire stack—from optimizing PostgreSQL queries on 140M+ records to crafting intuitive React interfaces. This is a high-impact role where your code directly influences how sales teams discover and engage with prospects worldwide.
What You'll Do
- Build and optimize REST APIs using Django REST Framework handling millions of records
- Design and implement complex database queries, indexes, and caching strategies for PostgreSQL
- Develop responsive, high-performance front-end interfaces with Next.js and React
- Implement Redis caching layers and optimize query performance for sub-second response times
- Design and implement smart search/filter systems with complex logic
- Collaborate on data pipeline architecture for processing large datasets
- Write clean, testable code with comprehensive unit and integration tests
- Participate in code reviews, architecture discussions, and technical planning
Required Skills
- 4-7 years of professional experience in full stack development
- Strong proficiency in Python and Django/Django REST Framework
- Expert-level PostgreSQL knowledge: query optimization, indexing, EXPLAIN ANALYZE, partitioning
- Solid experience with Next.js, React, and modern JavaScript/TypeScript
- Experience with state management (Zustand, Redux, or similar)
- Working knowledge of Redis for caching and session management
- Familiarity with AWS services (RDS, EC2, S3, CloudFront)
- Understanding of RESTful API design principles and best practices
- Experience with Git, CI/CD pipelines, and agile development workflows
Nice to Have
- Experience with Elasticsearch for full-text search at scale
- Knowledge of data scraping, ETL pipelines, or data enrichment
- Experience with Celery for async task processing
- Familiarity with Tailwind CSS and modern UI/UX practices
- Previous work on B2B SaaS or data-intensive applications
- Understanding of security best practices and anti-scraping measures
Our Tech Stack
Backend
Python, Django REST Framework
Frontend
Next.js, React, Zustand, Tailwind CSS
Database
PostgreSQL 17, Redis
Infrastructure
AWS (RDS, EC2, S3, CloudFront), Docker
Tools
GitHub, pgBouncer
Why Join Us
- Work on a product processing 140M+ records—real scale, real challenges
- Direct impact on product direction and technical decisions
- Modern tech stack with room to experiment and innovate
- Collaborative team environment with a focus on growth
- Competitive compensation and flexible hybrid work model
Like us, you'll be deeply committed to delivering impactful outcomes for customers.
- 7+ years of demonstrated ability to develop resilient, high-performance, and scalable code tailored to application usage demands.
- Ability to lead by example with hands-on development while managing project timelines and deliverables. Experience in agile methodologies and practices, including sprint planning and execution, to drive team performance and project success.
- Deep expertise in Node.js, with experience in building and maintaining complex, production-grade RESTful APIs and backend services.
- Experience writing batch/cron jobs using Python and Shell scripting.
- Experience in web application development using JavaScript and JavaScript libraries.
- Have a basic understanding of Typescript, JavaScript, HTML, CSS, JSON and REST based applications.
- Experience/Familiarity with RDBMS and NoSQL Database technologies like MySQL, MongoDB, Redis, ElasticSearch and other similar databases.
- Understanding of code versioning tools such as Git.
- Understanding of building applications deployed on the cloud using Google cloud platform(GCP)or Amazon Web Services (AWS)
- Experienced in JS-based build/Package tools like Grunt, Gulp, Bower, Webpack.
About the role
We are seeking a seasoned Backend Tech Lead with deep expertise in Golang and Python to lead our backend team. The ideal candidate has 6+ years of experience in backend technologies and 2–3 years of proven engineering mentoring experience, having successfully scaled systems and shipped B2C applications in collaboration with product teams.
Responsibilities
Technical & Product Delivery
● Oversee design and development of backend systems operating at 10K+ RPM scale.
● Guide the team in building transactional systems (payments, orders, etc.) and behavioral systems (analytics, personalization, engagement tracking).
● Partner with product managers to scope, prioritize, and release B2C product features and applications.
● Ensure architectural best practices, high-quality code standards, and robust testing practices.
● Own delivery of projects end-to-end with a focus on scalability, reliability, and business impact.
Operational Excellence
● Champion observability, monitoring, and reliability across backend services.
● Continuously improve system performance, scalability, and resilience.
● Streamline development workflows and engineering processes for speed and quality.
Requirements
● Experience:
7+ years of professional experience in backend technologies.
2-3 years as Tech lead and driving delivery.
● Technical Skills:
Strong hands-on expertise in Golang and Python.
Proven track record with high-scale systems (≥10K RPM).
Solid understanding of distributed systems, APIs, SQL/NoSQL databases, and cloud platforms.
● Leadership Skills:
Demonstrated success in managing teams through 2–3 appraisal cycles.
Strong experience working with product managers to deliver consumer-facing applications.
● Excellent communication and stakeholder management abilities.
Nice-to-Have
● Familiarity with containerization and orchestration (Docker, Kubernetes).
● Experience with observability tools (Prometheus, Grafana, OpenTelemetry).
● Previous leadership experience in B2C product companies operating at scale.
What We Offer
● Opportunity to lead and shape a backend engineering team building at scale.
● A culture of ownership, innovation, and continuous learning.
● Competitive compensation, benefits, and career growth opportunities.
Review Criteria:
Mandatory:
- Strong AI Runtime Engineering (Lead / Staff) Profiles
- Must have 4+ years of software engineering experience
- Must have proven 1+ years of experience designing, building, and owning AI runtime infrastructure supporting distributed training and/or inference at scale
- Must have hands-on experience optimizing deep learning runtimes such as PyTorch, TensorFlow, etc
- Must have strong low-level performance engineering experience, including profiling, debugging, and optimizing system throughput, latency, and reliability
- Must have experience leading or mentoring a team, including technical guidance, code reviews, and delivery ownership
- Must have strong programming skills in Python, Java, C++ , etc
Preferred:
Experience with Kubernetes, Ray, TorchElastic, or custom AI job orchestration frameworks
Exposure to LLM training pipelines, checkpointing, elastic or distributed training orchestration
Role & Responsibilities:
As Lead/Staff AI Runtime Engineer, you’ll play a pivotal role in the design, development, and optimization of the core runtime infrastructure that powers distributed training and deployment of large AI models (LLMs and beyond). This is a hands-on leadership role - perfect for a systems-minded software engineer who thrives at the intersection of AI workloads, runtimes, and performance-critical infrastructure. You’ll own critical components of our PyTorch-based stack, lead technical direction, and collaborate across engineering, research, and product to push the boundaries of elastic, fault-tolerant, high-performance model execution.
What you’ll do:
Lead Runtime Design & Development:
- Own the core runtime architecture supporting AI training and inference at scale.
- Design resilient and elastic runtime features (e.g. dynamic node scaling, job recovery) within our custom PyTorch stack.
- Optimize distributed training reliability, orchestration, and job-level fault tolerance.
Drive Performance at Scale:
- Profile and enhance low-level system performance across training and inference pipelines.
- Improve packaging, deployment, and integration of customer models in production environments.
- Ensure consistent throughput, latency, and reliability metrics across multi-node, multi- GPU setups.
Build Internal Tooling & Frameworks:
- Design and maintain libraries and services that support model lifecycle: training, check pointing, fault recovery, packaging, and deployment.
- Implement observability hooks, diagnostics, and resilience mechanisms for deep learning workloads.
- Champion best practices in CI/CD, testing, and software quality across the AI Runtime stack.
Collaborate & Mentor:
- Work cross-functionally with Research, Infrastructure, and Product teams to align runtime development with customer and platform needs.
- Guide technical discussions, mentor junior engineers, and help scale the AI Runtime team’s capabilities.
Ideal Candidate:
- 5+ years of experience in systems/software engineering, with deep exposure to AI runtime, distributed systems, or compiler/runtime interaction.
- Experience in delivering PaaS services.
- Proven experience optimizing and scaling deep learning runtimes (e.g. PyTorch, TensorFlow, JAX) for large-scale training and/or inference.
- Strong programming skills in Python and C++ (Go or Rust is a plus).
- Familiarity with distributed training frameworks, low-level performance tuning, and resource orchestration.
- Experience working with multi-GPU, multi-node, or cloud-native AI workloads.
- Solid understanding of containerized workloads, job scheduling, and failure recovery inproduction environments.
Mandatory (Experience 1) – Must have 4+ years of software engineering experience
Mandatory (Experience 2) – Must have proven1+ years of experience designing, building, and owning AI runtime infrastructure supporting distributed training and/or inference at scale
Mandatory (Experience 3) – Must have hands-on experience optimizing deep learning runtimes such as PyTorch, TensorFlow, etc
Mandatory (Experience 4) – Must have strong low-level performance engineering experience, including profiling, debugging, and optimizing system throughput, latency, and reliability
Mandatory (Team Lead) – Must have experience leading or mentoring a team, including technical guidance, code reviews, and delivery ownership
Mandatory (Programming Skills) – Must have strong programming skills in Python, Java, C++ , etc
AccioJob is conducting a Walk-In Hiring Drive with Snabbit for the position of Java Full Stack Developer.
To apply, register and select your slot here: https://go.acciojob.com/BsqNWc
Required Skills: DSA, Git, Python, SQL
Eligibility:
- Degree: BTech./BE, MTech./ME, MCA, BCA
- Branch: All
- Graduation Year: 2025, 2026
Work Details:
- Work Location: Bangalore (Onsite)
- CTC: ₹12 LPA to ₹15 LPA
Evaluation Process:
Round 1: Offline Assessment at AccioJob Bangalore Centre
Further Rounds (for shortlisted candidates only):
Resume Evaluation, Technical Interview 1, Technical Interview 2, HR Discussion
Important Note: Bring your laptop & earphones for the test.
Register here: https://go.acciojob.com/BsqNWc
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Python Backend Developer
We are seeking a skilled Python Backend Developer responsible for managing the interchange of data between the server and the users. Your primary focus will be on developing server-side logic to ensure high performance and responsiveness to requests from the front end. You will also be responsible for integrating front-end elements built by your coworkers into the application, as well as managing AWS resources.
Roles & Responsibilities
- Develop and maintain scalable, secure, and robust backend services using Python
- Design and implement RESTful APIs and/or GraphQL endpoints
- Integrate user-facing elements developed by front-end developers with server-side logic
- Write reusable, testable, and efficient code
- Optimize components for maximum performance and scalability
- Collaborate with front-end developers, DevOps engineers, and other team members
- Troubleshoot and debug applications
- Implement data storage solutions (e.g., PostgreSQL, MySQL, MongoDB)
- Ensure security and data protection
Mandatory Technical Skill Set
- Implementing optimal data storage (e.g., PostgreSQL, MySQL, MongoDB, S3)
- Python backend development experience
- Design, implement, and maintain CI/CD pipelines using tools such as Jenkins, GitLab CI/CD, or GitHub Actions
- Implemented and managed containerization platforms such as Docker and orchestration tools like Kubernetes
- Previous hands-on experience in:
- EC2, S3, ECS, EMR, VPC, Subnets, SQS, CloudWatch, CloudTrail, Lambda, SageMaker, RDS, SES, SNS, IAM, S3, Backup, AWS WAF
- SQL
Job Description:
We are looking for a skilled Python Full Stack Developer with strong experience in React or Angular to join our team in Bangalore. The ideal candidate should be hands-on, proactive, and able to work in a fast-paced environment.
Key Responsibilities:
- Develop, test, and maintain backend services using Python (Django / Flask / FastAPI)
- Build responsive and scalable front-end applications using React or Angular
- Integrate frontend components with backend APIs
- Write clean, reusable, and efficient code
- Participate in code reviews and follow best development practices
- Collaborate with cross-functional teams to deliver high-quality solutions
- Debug and resolve application issues and performance bottlenecks
Required Skills:
- 3+ years of experience in Python development
- Strong experience in React or Angular
- Proficiency in HTML, CSS, JavaScript
- Experience with RESTful APIs
- Knowledge of SQL/NoSQL databases
- Familiarity with Git version control
- Understanding of SDLC and Agile methodologies
Good to Have:
- Experience with cloud platforms (AWS/Azure/GCP)
- Knowledge of Docker or CI/CD pipelines
- Exposure to microservices architecture
Preferred Candidate:
- Immediate joiner or short notice period
- Strong problem-solving and communication skills
- Willing to work from Bangalore location
About us:
Hiver offers teams the simplest way to offer outstanding and personalized customer service. As a customer service solution built on Gmail, Hiver is intuitive, super easy to learn, and delightful to use. Hiver is used by thousands of teams at some of the best-known companies in the world to provide attentive, empathetic, and human service to their customers at scale. We’re a top-rated product on G2 and rank very highly on customer satisfaction.
At Hiver, we obsess about being world-class at everything we do. Our product is loved by our customers, our content engages a very wide audience, our customer service is one of the highest rated in the industry, and our sales team is as driven about doing right by our customers as they are by hitting their numbers. We’re profitably run and are backed by notable investors. K1 Capital led our most recent round of $27 million. Before that, we raised from Kalaari Capital, Kae Capital, and Citrix Startup Accelerator.
Opportunity:
As a Senior Staff Engineer at Hiver, you will play a pivotal role in shaping the future of our platform and technology landscape. You will operate as a senior technical leader — driving architectural strategy, establishing engineering excellence across teams, and influencing product direction at scale.
Hiver processes over 5 million emails daily for thousands of active users — and as we continue to grow rapidly, you’ll lead efforts to build highly scalable, intelligent, and resilient systems that power this growth. This is a hands-on and strategic role where you will architect complex systems, mentor other Staff Engineers and Technical Leads, and champion technical innovation across the company.
What you will be working on?
Strategic Technical Leadership
- Define and evolve Hiver’s technical architecture and long-term technology roadmap in alignment with business strategy.
- Lead architectural design reviews and ensure coherent technical direction across multiple product and platform teams.
- Partner with senior leadership across all functions to make strategic build vs. buy, scale vs. optimize, and AI adoption decisions.
- Drive technical vision-setting for next-generation AI-driven capabilities across the product suite.
AI and Systems Architecture
- Design and scale advanced Generative AI and Machine Learning solutions integrated with Hiver’s core workflows.
- Build frameworks to improve system scalability, resilience, and observability for high-throughput email and data processing.
- Ensure architectural decisions are guided by performance, maintainability, and cost efficiency principles
Engineering Excellence & Mentorship
- Set and enforce engineering-wide standards for system design, code quality, and technical documentation.
- Mentor and coach Staff Engineers, Tech Leads, and Senior Engineers, helping them grow as system thinkers and problem solvers.
- Act as the final technical reviewer for complex or high-risk projects, reducing uncertainty and ensuring timely delivery.
- Build a culture of engineering excellence that values clarity, simplicity, and accountability.
Cross-Functional Influence
- Collaborate closely with Product, Data, and Design teams to translate business goals into technically feasible and scalable solutions.
- Drive consensus and alignment on key architectural trade-offs across multiple teams and stakeholders.
- Lead post-incident reviews and proactively drive initiatives that improve system reliability and developer productivity.
Innovation & Technical Thought Leadership
- Champion emerging technologies — AI, automation, data analytics — to create business leverage.
- Promote a culture of continuous innovation, experimentation, and learning within engineering.
- Represent Hiver’s engineering excellence in external forums, conferences, and open-source communities.
What we are looking for?
- 12+ years of total experience in software engineering with at least 5+ years in architecture or technical leadership roles.
- 3+ years of experience leading Staff-level in large-scale distributed systems.
- Extensive expertise in AI/ML (including Generative AI), with a deep understanding of model lifecycle management and deployment.
- Proven experience architecting high-availability, large-scale SaaS platforms in cloud environments (AWS, GCP or Azure).
- Strong foundation in Python or Java, object-oriented design, and system performance optimization.
- Advanced understanding of distributed systems, data architecture, and event-driven design patterns.
- Experience managing technical strategy and decision-making across multiple teams or product areas.
- Demonstrated ability to navigate ambiguity, build consensus, and influence without direct authority.
- Passion for mentoring and developing senior engineering talent and shaping engineering culture at scale.
Description
We are seeking a skilled and detail-oriented Member of Technical Staff focusing on Network Infrastructure, Linux Administration and Automation. The role involves managing and maintaining Linux-based systems and infrastructure, automating repetitive tasks, and ensuring smooth operation.
Requirements
- In-depth experience with Linux systems (configuration, troubleshooting, networking, and administration)
- Network infrastructure management knowledge. CCNA/CCNP or an equivalent certification is a plus
- Scripting skills in at least one language (e.g., Bash, Python, Go).
- Knowledge of version control systems like Git and experience with branching, merging, and tagging workflows
- Experience with virtualization technologies such as Proxmox or VMWare, including the design, implementation, and management of virtualized infrastructures. Understanding of virtual machine provisioning, resource management, and performance optimization in virtual environments.
- Experience with containerization technologies like Docker
- Familiarity with monitoring and logging tools.
- Experience with end point security.
Responsibilities
- Network Infrastructure Management: Configure, manage, and troubleshoot routers, switches, firewalls, and wireless networks, Maintain and optimize network performance to ensure reliability and security.
- Linux Administration: Manage and maintain Linux-based systems, ensuring high availability and performance.
- Infrastructure Management: Managing servers, networks, storage, and other infrastructure components, capacity planning, and disaster recovery.
- Automation: Scripting (Bash, Python, Golang, etc.), configuration management (Ansible, Puppet, Chef).
- Virtualization: Design, implement, and manage virtualized environments, ensuring optimal performance and resource efficiency.
Benefits
Enjoy a great environment, great people, and a great package
- Stock Appreciation Rights - Generous pre series-B stock options
- Generous Gratuity Plan - Long service compensation far exceeding Indian statutory requirements
- Health Insurance - Premium health insurance for employee, spouse and children
- Working Hours - Flexible working hours with sole focus on enabling a great work environment
- Work Environment - Work with top industry experts in an environment that fosters co-operation, learning and developing skills
- Make a Difference - We're here because we want to make an impact on the world - we hope you do too!
Why Join RtBrick
Enjoy the excitement of a start-up without the risk!
We're revolutionizing the Internet's backbone by using cutting-edge software development techniques. The internet and, more specifically, broadband networks are among the most world's most critical technologies, that billions of people rely on every day. Rtbrick is revolutionizing the way these networks are constructed, moving away from traditional monolithic routing systems to a more agile, disaggregated infrastructure and distributed edge network functions. This shift mirrors transformations seen in computing and cloud technologies, marking the most profound change in networking since the inception of IP technology.
We're pioneering a cloud-native approach, harnessing the power of container-based software, microservices, a devops philosophy, and warehouse scale tools to drive innovation.
And although RtBrick is a young innovative company, RtBrick stands on solid financial ground: we are already cash-flow positive, backed by major telco investors like Swisscom Ventures and T-Capital, and our solutions are actively deployed by Tier-1 telcos including Deutsche Telekom (Europe's largest carrier), Regional ISPs and City ISPs—with expanding operations across Europe, North America and Asia.
Joining RtBrick offers you the unique thrill of a startup environment, coupled with the security that comes from working in a business with substantial market presence and significant revenue streams.
We'd love you to come and join us so why don't you embrace the opportunity to be part of a team that's not just participating in the market but actively shaping the future of telecommunications worldwide.
Description
We are seeking a skilled and detail-oriented Software Developer to automate our internal workflows, develop tools for internal use that are used by our development team.
We follow the following practices: unit testing, continuous integration CI, continuous deployment CD, and DevOps.
We have codebases in go, java, python, vue js, bash and support the development team that develops C code.
You need to like challenges, explore new fields and find solutions for problems.
You will be responsible for coordinating, automating, and validating internal workflows and ensuring operational stability, and system reliability.
Requirements
- Bachelor’s degree in Computer Science, Engineering, or related field.
- 2+ years in professional software development
- Solid understanding of software development patterns like SOLID, GoF or similar.
- Experience automating deployments for different kinds of applications.
- Strong understanding of Git version control, merge/rebase strategies, tagging.
- Familiarity with containerization (Docker) and deployment orchestration (e.g., docker compose).
- Solid scripting experience (bash, or similar).
- Understanding of observability, monitoring, and probing tooling (e.g., Prometheus, Grafana, blackbox exporter).
Preferred Skills
- Experience in SRE
- Proficiency in CI/CD tooling (e.g., GitHub Actions, Jenkins, GitLab).
- Familiarity with build tools like Make, CMake, or similar.
- Exposure to artifact management systems (e.g., aptly, Artifactory, Nexus).
- Experience deploying to Linux production systems with service uptime guarantees.
Responsibilities
- Develop new services that are needed by SRE, Field or Development Team by adopting unit testing, agile, clean code practices.
- Drive the CI/CD pipeline and maintain the workflows, using tools such as GitLab, Jenkins
- Deploy the services and implement and refine the automation for different environments.
- Operate: The services that the SRE Team developed.
- Automate release pipelines: Build and maintain CI/CD workflows using tools such as Jenkins and GitLab.
- Version control: Manage and enforce Git best practices, branching strategies (e.g., Git Flow), tagging, and release versioning.
- Collaboration: Work closely with developers, QA, and product teams to align on release timelines and feature readines
- Success Metrics
- Achieve >99% service up time with minimal rollbacks.
- Delivery in time, hold timelines.
Benefits
Enjoy a great environment, great people, and a great package
- Stock Appreciation Rights - Generous pre series-B stock options
- Generous Gratuity Plan - Long service compensation far exceeding Indian statutory requirements
- Health Insurance - Premium health insurance for employee, spouse and children
- Working Hours - Flexible working hours with sole focus on enabling a great work environment
- Work Environment - Work with top industry experts in an environment that fosters co-operation, learning and developing skills
- Make a Difference - We're here because we want to make an impact on the world - we hope you do too!
Why Join RtBrick
Enjoy the excitement of a start-up without the risk!
We're revolutionizing the Internet's backbone by using cutting-edge software development techniques. The internet and, more specifically, broadband networks are among the most world's most critical technologies, that billions of people rely on every day. Rtbrick is revolutionizing the way these networks are constructed, moving away from traditional monolithic routing systems to a more agile, disaggregated infrastructure and distributed edge network functions. This shift mirrors transformations seen in computing and cloud technologies, marking the most profound change in networking since the inception of IP technology.
We're pioneering a cloud-native approach, harnessing the power of container-based software, microservices, a devops philosophy, and warehouse scale tools to drive innovation.
And although RtBrick is a young innovative company, RtBrick stands on solid financial ground: we are already cash-flow positive, backed by major telco investors like Swisscom Ventures and T-Capital, and our solutions are actively deployed by Tier-1 telcos including Deutsche Telekom (Europe's largest carrier), Regional ISPs and City ISPs—with expanding operations across Europe, North America and Asia.
Joining RtBrick offers you the unique thrill of a startup environment, coupled with the security that comes from working in a business with substantial market presence and significant revenue streams.
We'd love you to come and join us so why don't you embrace the opportunity to be part of a team that's not just participating in the market but actively shaping the future of telecommunications worldwide
As an Engineering Manager, you will have an impact on our technical architecture, product, team as well as culture. You not only have the chance to use your technical expertise to take on and provide technical leadership to major projects but also manage a team of smart engineers to create business impact. You not only optimize your own code but make sure engineers are able to optimize theirs. You would contribute to the product strategy and help develop your team.
What you will be working on?
- Driving product implementation from conceptualisation to delivery. This would involve planning and breaking down projects, leading architectural discussions and decisions, building high quality documentation and architecture diagrams, and driving the execution end to end.
- Own the development practices, processes, and standards for your team
- Own the technical architecture, drive engineering design, and shoulder critical decisions
- Understand, prioritize and deliver the feature roadmap while chipping away at the technical debt
- Work effectively with a cross-functional team of product managers, designers, developers, and QA
- Own the communication of the team’s progress and perception of the team itself
- Collaborate with the Support team to keep track of and triage technical issues and track them through to resolution
- Collaborate with Talent Acquisition to drive sourcing, screening, interviewing, and recruitment of the right talent for your team
- Continuously improve the productivity of your team by identifying investments in technology, process, and continuous delivery
- Own the morale of your team, unblock them at critical junctures, and break ties in a timely manner
- Own the careers of your team members, deliver regular and timely feedback, represent your team for annual reviews and reward your performers
- You will nurture and grow the team in order to deliver path-breaking solutions, as outlined above, for the business in the coming years
What we are looking for?
- 8+ years of total relevant experience with a minimum of one year of actively managing and owning the delivery of a high-performing engineering team.
- Bachelor's Degree in a technical field
- Ability to work in a very fast-paced environment with high degrees of vagueness.
- Excellent database knowledge and data modeling skills
- Excellent leadership skills to manage and mentor teams
- Experience designing and implementing distributed systems
- Superior management skills to manage multi-engineer projects and experience in delivering high-quality projects on time
- Track record of individual technical achievement
- Excellent command in CS fundamentals and in at least one interpreted language (PHP / Python / RoR)
- Experience developing software in a commercial software product development environment
- Experience leading teams that built software products for scale
- Excellent communication skills, open, collaborative, and proven team player
- Experience working with global customers and experience with agile processes and Serverless Architecture is a plus
Key Responsibilities:
- Design, develop, and maintain full-stack applications using Python and React.
- Collaborate with designers, product managers, and other developers to build user-friendly interfaces and seamless APIs.
- Optimize applications for maximum speed and scalability.
- Write clean, maintainable, and well-documented code.
- Debug and resolve technical issues promptly.
- Implement unit and integration tests to ensure high-quality deliverables.
- Stay updated with the latest industry trends, tools, and technologies.
- Participate in code reviews and contribute to team best practices.
Required Skills and Qualifications:
- 3–5 years of hands-on experience with Python and React.
- Strong understanding of JavaScript, ES6+, and TypeScript (preferred).
- Proficient in building RESTful APIs and integrating with frontend frameworks.
- Experience with state management libraries (e.g., Redux, Context API).
- Familiarity with databases such as MongoDB, PostgreSQL, or MySQL.
- Experience with modern build tools and package managers like Webpack, Babel, NPM, or Yarn.
- Hands-on experience with version control tools, particularly Git.
- Knowledge of containerization and CI/CD pipelines is a plus.

is a global digital solutions partner trusted by leading Fortune 500 companies in industries such as pharma & healthcare, retail, and BFSI.It is expertise in data and analytics, data engineering, machine learning, AI, and automation help companies streamline operations and unlock business value.
Skills: Gen AI, Machine learning Models, AWS/ Azure, redshift, Python, Apachi, Airflow, Devops, minimum 4-5years experience as Architect, should be from Data Engineering background.
• 8+ years of experience in data engineering, data science, or architecture roles.
• Experience designing enterprise-grade AI platforms.
• Certification in major cloud platforms (AWS/Azure/GCP).
• Experience with governance tooling (Collibra, Alation) and lineage systems
• Strong hands-on background in data engineering, analytics, or data science.
• Expertise in building data platforms using:
o Cloud: AWS (Glue, S3, Redshift), Azure (Data Factory, Synapse), GCP (BigQuery,
Dataflow).
o Compute: Spark, Databricks, Flink.
o Data modelling: dimensional, relational, NoSQL, graph.
• Proficiency with Python, SQL, and data pipeline orchestration tools.
• Understanding of ML frameworks and tools: TensorFlow, PyTorch, Scikit-learn, MLflow, etc.
• Experience implementing MLOps, model deployment, monitoring, logging, and versioning.
Specific Knowledge/Skills
- 4-6 years of experience
- Proficiency in Python programming.
- Basic knowledge of front-end development.
- Basic knowledge of Data manipulation and analysis libraries
- Code versioning and collaboration. (Git)
- Knowledge for Libraries for extracting data from websites.
- Knowledge of SQL and NoSQL databases
- Familiarity with RESTful APIs
- Familiarity with Cloud (Azure /AWS) technologies
Who We Are
We're a DevOps and Automation company based in Bengaluru, India. We have delivered over 170 automation projects for 65+ global clients, including Fortune 500 enterprises that trust us with mission-critical infrastructure and operations. We're bootstrapped, profitable, and scaling quickly by consistently solving complex engineering challenges with precision and reliability.
What We Value
- Ownership: As part of our team, you're responsible for strategy and outcomes, not just completing assigned tasks.
- High Velocity: We move fast, iterate faster, and amplify our impact, always prioritizing quality over speed.
Who We Seek
We are hiring DevOps Engineers (6 months - 1 year experience) to join our DevOps team. You will work on infrastructure automation, CI/CD pipelines, cloud deployments, container orchestration, and system reliability.
This role is ideal for someone who wants to work with modern DevOps tooling and contribute to high-impact engineering decisions.
🌏 Job Location: Bengaluru (Work From Office)
What You Will Be Doing
CI/CD Pipeline Management
- Design, implement, and maintain efficient CI/CD pipelines using Jenkins, GitLab CI, Azure DevOps, or similar tools.
- Automate build, test, and deployment processes to increase delivery speed and reliability.
Infrastructure as Code (IaC)
- Provision and manage infrastructure on AWS, Azure, or GCP using Terraform, CloudFormation, or Ansible.
- Maintain scalable, secure, and cost-optimized environments.
Containerization & Orchestration
- Build and manage Docker-based environments.
- Deploy and scale workloads using Kubernetes.
Monitoring & Alerting
- Implement monitoring, logging, and alerting systems using Prometheus, Grafana, ELK Stack, Datadog, or similar.
- Develop dashboards and alerts to detect issues proactively.
System Reliability & Performance
- Implement systems for high availability, disaster recovery, and fault tolerance.
- Troubleshoot and optimize infrastructure performance.
Scripting & Automation
- Write automation scripts in Python, Bash, or Shell to streamline operations.
- Automate repetitive workflows to reduce manual intervention.
Collaboration & Best Practices
- Work closely with Development, QA, and Security teams to embed DevOps best practices into the SDLC.
- Follow security standards for deployments and infrastructure.
- Work efficiently with Unix/Linux systems and understand core networking concepts (DNS, DHCP, NAT, VPN, TCP/IP).
What We’re Looking For
- Strong understanding of Linux distributions (Ubuntu, CentOS, RHEL) and Windows environments.
- Proficiency with Git and experience using GitHub, GitLab, or Bitbucket.
- Ability to write automation scripts using Bash/Shell or Python.
- Basic knowledge of relational databases like MySQL or PostgreSQL.
- Familiarity with web servers such as NGINX or Apache2.
- Experience working with AWS, Azure, GCP, or DigitalOcean.
- Foundational understanding of Ansible for configuration management.
- Basic knowledge of Terraform or CloudFormation for IaC.
- Hands-on experience with Jenkins or GitLab CI/CD pipelines.
- Strong knowledge of Docker for containerization.
- Basic exposure to Kubernetes for orchestration.
- Familiarity with at least one programming language (Java, Node.js, or Python).
Benefits
🤝 Work directly with founders and engineering leaders.
💪 Drive projects that create real business impact, not busywork.
💡 Gain practical, industry-relevant skills you won’t learn in college.
🚀 Accelerate your growth by working on meaningful engineering challenges.
📈 Learn continuously with mentorship and structured development opportunities.
🤗 Be part of a collaborative, high-energy workplace that values innovation.
Who We Are
We're a DevOps and Automation company based in Bengaluru, India. We have delivered over 170 automation projects for 65+ global clients, including Fortune 500 enterprises that trust us with mission-critical infrastructure and operations. We're bootstrapped, profitable, and scaling quickly by consistently solving complex engineering challenges with precision and reliability.
What We Value
- Ownership: As part of our team, you're responsible for strategy and outcomes, not just completing assigned tasks.
- High Velocity: We move fast, iterate faster, and amplify our impact, always prioritizing quality over speed.
Who We Seek
We are hiring DevOps Engineers (6 months - 1 year experience) to join our DevOps team. You will work on infrastructure automation, CI/CD pipelines, cloud deployments, container orchestration, and system reliability.
This role is ideal for someone who wants to work with modern DevOps tooling and contribute to high-impact engineering decisions.
🌏 Job Location: Bengaluru (Work From Office)
What You Will Be Doing
CI/CD Pipeline Management
- Design, implement, and maintain efficient CI/CD pipelines using Jenkins, GitLab CI, Azure DevOps, or similar tools.
- Automate build, test, and deployment processes to increase delivery speed and reliability.
Infrastructure as Code (IaC)
- Provision and manage infrastructure on AWS, Azure, or GCP using Terraform, CloudFormation, or Ansible.
- Maintain scalable, secure, and cost-optimized environments.
Containerization & Orchestration
- Build and manage Docker-based environments.
- Deploy and scale workloads using Kubernetes.
Monitoring & Alerting
- Implement monitoring, logging, and alerting systems using Prometheus, Grafana, ELK Stack, Datadog, or similar.
- Develop dashboards and alerts to detect issues proactively.
System Reliability & Performance
- Implement systems for high availability, disaster recovery, and fault tolerance.
- Troubleshoot and optimize infrastructure performance.
Scripting & Automation
- Write automation scripts in Python, Bash, or Shell to streamline operations.
- Automate repetitive workflows to reduce manual intervention.
Collaboration & Best Practices
- Work closely with Development, QA, and Security teams to embed DevOps best practices into the SDLC.
- Follow security standards for deployments and infrastructure.
- Work efficiently with Unix/Linux systems and understand core networking concepts (DNS, DHCP, NAT, VPN, TCP/IP).
What We’re Looking For
- Strong understanding of Linux distributions (Ubuntu, CentOS, RHEL) and Windows environments.
- Proficiency with Git and experience using GitHub, GitLab, or Bitbucket.
- Ability to write automation scripts using Bash/Shell or Python.
- Basic knowledge of relational databases like MySQL or PostgreSQL.
- Familiarity with web servers such as NGINX or Apache2.
- Experience working with AWS, Azure, GCP, or DigitalOcean.
- Foundational understanding of Ansible for configuration management.
- Basic knowledge of Terraform or CloudFormation for IaC.
- Hands-on experience with Jenkins or GitLab CI/CD pipelines.
- Strong knowledge of Docker for containerization.
- Basic exposure to Kubernetes for orchestration.
- Familiarity with at least one programming language (Java, Node.js, or Python).
Benefits
🤝 Work directly with founders and engineering leaders.
💪 Drive projects that create real business impact, not busywork.
💡 Gain practical, industry-relevant skills you won’t learn in college.
🚀 Accelerate your growth by working on meaningful engineering challenges.
📈 Learn continuously with mentorship and structured development opportunities.
🤗 Be part of a collaborative, high-energy workplace that values innovation.
Who We Are
We're a DevOps and Automation company based in Bengaluru, India. We have successfully delivered over 170 automation projects for 65+ global businesses, including Fortune 500 companies that trust us with their mission-critical infrastructure and operations. We're bootstrapped, profitable, and scaling quickly by consistently solving high-impact engineering problems.
What We Value
Ownership: You take accountability for outcomes, not just tasks.
High Velocity: We iterate fast, learn constantly, and deliver with precision.
Who We Seek
We are looking for a DevOps Intern to join our DevOps team and gain hands-on experience working with real infrastructure, automation pipelines, and deployment environments. You will support CI/CD processes, cloud environments, monitoring, and system reliability while learning industry-standard tools and practices.
We’re seeking someone who is technically curious, eager to learn, and driven to build reliable systems in a fast-paced engineering environment.
🌏 Job Location: Bengaluru (Work From Office)
What You Will Be Doing
- Assist in deploying product updates, monitoring system performance, and identifying production issues.
- Contribute to building and improving CI/CD pipelines for automated deployments.
- Support the provisioning, configuration, and maintenance of cloud infrastructure.
- Work with tools like Docker, Jenkins, Git, and monitoring systems to streamline workflows.
- Help automate recurring operational processes using scripting and DevOps tools.
- Participate in backend integrations aligned with product or customer requirements.
- Collaborate with developers, QA, and operations to improve reliability and scalability.
- Gain exposure to containerization, infrastructure-as-code, and cloud platforms.
- Document processes, configurations, and system behaviours to support team efficiency.
- Learn and apply DevOps best practices in real-world environments.
What We’re Looking For
- Hands-on experience or coursework with Docker, Linux, or cloud fundamentals.
- Familiarity with Jenkins, Git, or basic CI/CD concepts.
- Basic understanding of AWS, Azure, or Google Cloud environments.
- Exposure to configuration management tools like Ansible, Puppet, or similar.
- Interest in Kubernetes, Terraform, or infrastructure-as-code practices.
- Ability to write or modify simple shell or Python scripts.
- Strong analytical and troubleshooting mindset.
- Good communication skills with the ability to articulate technical concepts clearly.
- Eagerness to learn, take initiative, and adapt in a fast-moving engineering environment.
- Attention to detail and a commitment to accuracy and reliability.
Benefits
🤝 Work directly with founders and senior engineers.
💪 Contribute to live projects that impact real customers and systems.
💡 Learn tools and practices that engineering programs rarely teach.
🚀 Accelerate your growth through real-world problem solving.
📈 Build a strong DevOps foundation with continuous learning opportunities.
🤗 Thrive in a collaborative environment that encourages experimentation and growth.
As a Python Engineer, you will play a critical role in building and scaling data pipelines, developing prompts for large language models (LLMs), and deploying them as efficient, scalable APIs. You will collaborate closely with data scientists, product managers, and other engineers to ensure seamless integration of data solutions and LLM functionalities. This role requires expertise in Python, API design, data engineering tools, and a strong understanding of LLMs and their applications.
Review Criteria:
- Strong Software Engineer fullstack profile using NodeJS / Python and React
- 6+ YOE in Software Development using Python OR NodeJS (For backend) & React (For frontend)
- Must have strong experience in working on Typescript
- Must have experience in message-based systems like Kafka, RabbitMq, Redis
- Databases - PostgreSQL & NoSQL databases like MongoDB
- Product Companies Only
- Tier 1 Engineering Institutes (IIT, NIT, BITS, IIIT, DTU or equivalent)
Preferred:
- Experience in Fin-Tech, Payment, POS and Retail products is highly preferred
- Experience in mentoring, coaching the team.
Role & Responsibilities:
We are currently seeking a Senior Engineer to join our Financial Services team, contributing to the design and development of scalable system.
The Ideal Candidate Will Be Able To-
- Take ownership of delivering performant, scalable and high-quality cloud-based software, both frontend and backend side.
- Mentor team members to develop in line with product requirements.
- Collaborate with Senior Architect for design and technology choices for product development roadmap.
- Do code reviews.
Ideal Candidate:
- Thorough knowledge of developing cloud-based software including backend APIs and react based frontend.
- Thorough knowledge of scalable design patterns and message-based systems such as Kafka, RabbitMq, Redis, MongoDB, ORM, SQL etc.
- Experience with AWS services such as S3, IAM, Lambda etc.
- Expert level coding skills in Python FastAPI/Django, NodeJs, TypeScript, ReactJs.
- Eye for user responsive designs on the frontend.
Perks, Benefits and Work Culture:
- We prioritize people above all else. While we're recognized for our innovative technology solutions, it's our people who drive our success. That’s why we offer a comprehensive and competitive benefits package designed to support your well-being and growth:
- Medical Insurance with coverage up to INR 8,00,000 for the employee and their family
Experience: 3+ years
Responsibilities:
- Build, train and fine tune ML models
- Develop features to improve model accuracy and outcomes.
- Deploy models into production using Docker, kubernetes and cloud services.
- Proficiency in Python, MLops, expertise in data processing and large scale data set.
- Hands on experience in Cloud AI/ML services.
- Exposure in RAG Architecture
Strong Software Engineer fullstack profile using NodeJS / Python and React
Mandatory (Experience) - Must have 6+ YOE in Software Development using Python OR NodeJS (For backend) & React (For frontend)
Mandatory (Core Skills 1): Must have strong experience in working on Typescript
Mandatory (Core Skills 2): Must have experience in message based systems like Kafka, RabbitMq, Redis
Mandatory (Core Skills 3): Databases - PostgreSQL & NoSQL databases like MongoDB
Mandatory (Company) - Product Companies Only
Mandatory (Education) - Tier 1 Engineering Institutes (IIT, NIT, BITS, IIIT, DTU or equivalent)
MANDATORY CRITERIA:
- Education: B.Tech / M.Tech in ECE / CSE / IT
- Experience: 10–12 years in hardware board design, system hardware engineering, and full product deployment cycles
- Proven expertise in digital, analog, and power electronic circuit analysis & design
- Strong hands-on experience designing boards with SoCs, FPGAs, CPLDs, and MPSoC architectures
- Deep understanding of signal integrity, EMI/EMC, and high-speed design considerations
- Must have successfully completed at least two hardware product development cycles from high-level design to final deployment
- Ability to independently handle schematic design, design analysis (DC drop, SI), and cross-team design reviews
- Experience in sourcing & procurement of electronic components, PCBs, and mechanical parts for embedded/IoT/industrial hardware
- Strong experience in board bring-up, debugging, issue investigation, and cross-functional triage with firmware/software teams
- Expertise in hardware validation, test planning, test execution, equipment selection, debugging, and report preparation
- Proficiency in Cadence Allegro or Altium EDA tools (mandatory)
- Experience coordinating with layout, mechanical, SI, EMC, manufacturing, and supply chain teams
- Strong understanding of manufacturing services, production pricing models, supply chain, and logistics for electronics/electromechanical components
DESCRIPTION:
COMPANY OVERVIEW:
The company is a semiconductor and embedded system design company with a focus on Embedded, Turnkey ASICs, Mixed Signal IP, Semiconductor & Product Engineering and IoT solutions catering to Aerospace & Defence, Consumer Electronics, Automotive, Medical and Networking & Telecommunications.
REQUIRED SKILLS:
- Extensive experience in hardware board designs and towards multiple product field deployment cycles.
- Strong foundation and expertise in analyzing digital, Analog and power electronic circuits.
- Proficient with SoC, FPGAs, CPLD and MPSOC architecture-based board designs.
- Knowledgeable in signal integrity, EMI/EMC concepts for digital and power electronics.
- Completed at least two project from high-level design to final product level deployment.
- Capable of independently managing product’s schematic, design analysis DC Drop, Signal Integrity, and coordinating reviews with peer of layout, mechanical, SI, and EMC teams.
- Sourcing and procurement of electronic components, PCBs, and mechanical parts for cutting-edge IoT, embedded, and industrial product development.
- Experienced in board bring-up, issue investigation, and triage in collaboration with firmware and software teams.
- Skilled in preparing hardware design documentation, validation test planning, identifying necessary test equipment, test development, execution, debugging, and report preparation.
- Effective communication and interpersonal skills for collaborative work with cross-functional teams, including post-silicon bench validation, BIOS, and driver development/QA.
- Hands-on experience with Cadence Allegro/Altium EDA tools is essential.
- Familiarity with programming and scripting languages like Python and Perl, and experience in test automation is advantageous.
- Should have excellent exposure with coordination of Manufacturing Services, pricing model for production value supply chain & Logistics in electronics and electromechanical components domain.
Mode Employment – Fulltime and Permanent
Working Location: Bommasandra Industrial Area, Hosur Main Road, Bangalore
Working Days: 5 days
Working Model: Hybrid - 3 days WFO and 2 days Home
Position Overview
As the Lead Software Engineer in our Research & Innovation team, you’ll play a strategic role in establishing and driving the technical vision for industrial AI solutions. Working closely with the Lead AI Engineer, you will form a leadership tandem to define the roadmap for the team, cultivate an innovative culture, and ensure that projects are strategically aligned with the organization’s goals. Your leadership will be crucial in developing, mentoring, and empowering the team as we expand, helping create an environment where innovative ideas can translate seamlessly from research to industry-ready products.
Key Responsibilities:
- Define and drive the technical strategy for embedding AI into industrial automation products, with a focus on scalability, quality, and industry compliance.
- Lead the development of a collaborative, high-performing engineering team, mentoring junior engineers, automation experts, and researchers.
- Establish and oversee processes and standards for agile and DevOps practices, ensuring project alignment with strategic goals.
- Collaborate with stakeholders to align project goals, define priorities, and manage timelines, while driving innovative, research-based solutions.
- Act as a key decision-maker on technical issues, architecture, and system design, ensuring long-term maintainability and scalability of solutions.
- Ensure adherence to industry standards, certifications, and compliance, and advocate for industry best practices within the team.
- Stay updated on software engineering trends and AI applications in embedded systems, incorporating the latest advancements into the team’s strategic planning.
Qualifications:
- Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
- Extensive experience in software engineering, with a proven track record of leading technical teams, ideally in manufacturing or embedded systems.
- Strong expertise in Python and C++/Rust, Gitlab toolchains, and system architecture for embedded applications.
- Experience in DevOps, CI/CD, and agile methodologies, with an emphasis on setting and maintaining high standards across a team.
- Exceptional communication and collaboration skills in English.
- Willingness to travel as needed.
Preferred:
- Background in driving team culture, agile project management, and experience embedding AI in industrial products.
- Familiarity with sociocratic or consent-based management practices.
- Knowledge in embedded programming is an advantage.
Job Description:
Exp Range - [6y to 10y]
Qualifications:
- Minimum Bachelors Degree in Engineering or Computer Applications or AI/Data science
- Experience working in product companies/Startups for developing, validating, productionizing AI model in the recent projects in last 3 years.
- Prior experience in Python, Numpy, Scikit, Pandas, ETL/SQL, BI tools in previous roles preferred
Require Skills:
- Must Have – Direct hands-on experience working in Python for scripting automation analysis and Orchestration
- Must Have – Experience working with ML Libraries such as Scikit-learn, TensorFlow, PyTorch, Pandas, NumPy etc.
- Must Have – Experience working with models such as Random forest, Kmeans clustering, BERT…
- Should Have – Exposure to querying warehouses and APIs
- Should Have – Experience with writing moderate to complex SQL queries
- Should Have – Experience analyzing and presenting data with BI tools or Excel
- Must Have – Very strong communication skills to work with technical and non technical stakeholders in a global environment
Roles and Responsibilities:
- Work with Business stakeholders, Business Analysts, Data Analysts to understand various data flows and usage.
- Analyse and present insights about the data and processes to Business Stakeholders
- Validate and test appropriate AI/ML models based on the prioritization and insights developed while working with the Business Stakeholders
- Develop and deploy customized models on Production data sets to generate analytical insights and predictions
- Participate in cross functional team meetings and provide estimates of work as well as progress in assigned tasks.
- Highlight risks and challenges to the relevant stakeholders so that work is delivered in a timely manner.
- Share knowledge and best practices with broader teams to make everyone aware and more productive.
Mode Employment – Fulltime and Permanent
Working Location: Bommasandra Industrial Area, Hosur Main Road, Bangalore
Working Days: 5 days
Working Model: Hybrid - 3 days WFO and 2 days Home
Responsibilities
- Design, implement, and test embedded software for industrial automation products
- Collaborate within an agile team on industrial communication, cybersecurity, and closed-loop control projects
- Assist in developing and enhancing infrastructure for continuous integration and industrial Ethernet
- Integrate and reuse software components from the embedded platform
- Ensure software meets quality, performance, and functional standards
- Troubleshoot, test, and support embedded software throughout the development lifecycle
Qualification
- Degree in Computer Science, Software Engineering, Electrical Engineering, or related field.
- Familiarity with electric and pneumatic systems and willingness to engage with them
- 5 to 8 years of experience in embedded systems and industrial communication software development
- Proficiency in object-oriented design, C++, Python for scripting and automation
- Knowledge of version control with Git, unit and integration testing, and troubleshooting embedded software
- Familiarity with ARM v7/v8 Cortex-M / Cortex-A microcontrollers and their ecosystems
- Understanding industrial communication protocols (EtherCAT, Profinet, Modbus, IO-Link) and controllers (SIEMENS, Beckhoff)
- Experience with modern development tools such as VS Code, LLVM, GitLab, CMake, and Conan Awareness of software development processes, architectural design principles, and quality best practice
- Excellent written and spoken English communication skills
Founding Engineer – RetainSure (Bengaluru)
Full-stack • Python/FastAPI • React • Postgres • AWS • Early-stage.
RetainSure is an AI Customer Success Manager that eliminates the need for CSMs for low-touch accounts and reduces headcount by 80% for high-touch teams. We integrate deeply across product, CRM, support, billing, and external signals to build a unified intelligence layer, and deploy specialized AI agents that behave like a human CSM across backstage, in-meeting, and in-product workflows.
We’re now hiring a Founding Engineer to join our core team and help build the next $100M+ AI infra layer for Customer Success.
What You’ll Own
- Architect and build core product components across backend, frontend, infrastructure, and data pipelines.
- Develop scalable services using Python, FastAPI, Postgres, and AWS-native components.
- Build high-quality user-facing experiences in React.
- Design, optimize, and maintain database schemas and high-throughput workflows.
- Work directly with the founders to define product, ship fast, and iterate with customers.
- Own modules end-to-end, from concept → architecture → implementation → monitoring.
- Set engineering standards, improve dev velocity, and lay the foundation for the engineering culture.
What We’re Looking For
Must-haves
- 2+ years of experience as a Full-Stack Engineer in high-velocity environments.
- Strong backend fundamentals: Python, FastAPI, SQL/Postgres, distributed systems basics.
- Solid frontend engineering with React.
- Strong grasp of DSA, algorithms, and database internals.
- Deep comfort with AWS (EC2, S3, Lambda, RDS, VPC, IAM, etc.).
- Bias toward action, ownership, and solving real customer problems.
- Ability to move fast without compromising code quality.
Cherry on Top
- Ambition to start your own company in the future: we love founders-in-the-making.
- Experience building large-scale SaaS systems, data platforms, or AI-driven workflows.
- Worked in early-stage startups or shipped 0→1 products before.
What You’ll Get
- Founding-level ESOPs with outsized ownership.
- Work with founders experienced in building/scaling SaaS (Rubrik, Mailmodo, ClearTax).
- High trust, zero bureaucracy, rapid execution environment.
- Opportunity to architect systems that will scale globally across enterprise customers.
- First-hand exposure to building and scaling a company from scratch.
Salary Range
15-18 LPA + founding engineer level ESOPs
Location
Bengaluru
As a Senior Software Engineer, you’ll be responsible for building and maintaining high-performance web applications across the stack. You’ll collaborate with product managers, designers, and business stakeholders to translate complex business needs into reliable digital systems.
Key Responsibilities
- Design, build, and maintain scalable web applications end-to-end.
- Work closely with product and design teams to deliver user-centric, high-performance interfaces.
- Develop and optimize backend APIs, database queries, and integrations.
- Write clean, maintainable, and testable code following best practices.
- Mentor junior developers and contribute to team-wide tech decisions.
Requirements
- Experience: 5+ years of hands-on full-stack development experience.
- Backend: Proficiency in Python
- Frontend: Experience with React, Angular, or Vue.js.
- Database: Strong knowledge of SQL databases (MySQL, PostgreSQL, or Oracle).
- Communication: Comfortable in English or Hindi.
- Location: Bangalore, 5 days a week (Work from Office).
- Availability: Immediate joiners preferred.
Why Join Us
- Be part of a fast-growing global diamond brand backed by two industry leaders.
- Collaborate with a sharp, experienced tech and product team solving real-world business challenges.
- Work at the intersection of luxury, data, and innovation — building systems that directly impact global operations.
Objectives of this role
- Develop, test and maintain high-quality software using Python programming language.
- Participate in the entire software development lifecycle, building, testing and delivering high-quality solutions.
- Collaborate with cross-functional teams to identify and solve complex problems.
- Write clean and reusable code that can be easily maintained and scaled.
Your tasks
- Create large-scale data processing pipelines to help developers build and train novel machine learning algorithms.
- Participate in code reviews, ensure code quality and identify areas for improvement to implement practical solutions.
- Debugging codes when required and troubleshooting any Python-related queries.
- Keep up to date with emerging trends and technologies in Python development.
Required skills and qualifications
- 3+ years of experience as a Python Developer with a strong portfolio of projects.
- Hands on exp in angular 12+v
- Bachelor's degree in Computer Science, Software Engineering or a related field.
- In-depth understanding of the Python software development stacks, ecosystems, frameworks and tools such as Numpy, Scipy, Pandas, Dask, spaCy, NLTK, sci-kit-learn and PyTorch.
- Experience with front-end development using HTML, CSS, and JavaScript.
- Familiarity with database technologies such as SQL and NoSQL.
- Excellent problem-solving ability with solid communication and collaboration skills.
Preferred skills and qualifications
- Experience with popular Python frameworks such as Django, Flask or Pyramid.
- Knowledge of Angular
- A working understanding of cloud platforms such as AWS, Google Cloud or Azure.
- Contributions to open-source Python projects or active involvement in the Python community.
An L2 Technical Support Engineer with Python knowledge is responsible for handling escalated, more complex technical issues that the Level 1 (L1) support team cannot resolve. Your primary goal is to perform deep-dive analysis, troubleshooting, and problem resolution to minimize customer downtime and ensure system stability.
Python is a key skill, used for scripting, automation, debugging, and data analysis in this role.
Key Responsibilities
- Advanced Troubleshooting & Incident Management:
- Serve as the escalation point for complex technical issues (often involving software bugs, system integrations, backend services, and APIs) that L1 support cannot resolve.
- Diagnose, analyze, and resolve problems, often requiring in-depth log analysis, code review, and database querying.
- Own the technical resolution of incidents end-to-end, adhering strictly to established Service Level Agreements (SLAs).
- Participate in on-call rotation for critical (P1) incident support outside of regular business hours.
- Python-Specific Tasks:
- Develop and maintain Python scripts for automation of repetitive support tasks, system health checks, and data manipulation.
- Use Python for debugging and troubleshooting by analyzing application code, API responses, or data pipeline issues.
- Write ad-hoc scripts to extract, analyze, or modify data in databases for diagnostic or resolution purposes.
- Potentially apply basic-to-intermediate code fixes in Python applications in collaboration with development teams.
- Collaboration and Escalation:
- Collaborate closely with L3 Support, Software Engineers, DevOps, and Product Teams to report bugs, propose permanent fixes, and provide comprehensive investigation details.
- Escalate issues that require significant product changes or deeper engineering expertise to the L3 team, providing clear, detailed documentation of all steps taken.
- Documentation and Process Improvement:
- Conduct Root Cause Analysis (RCA) for major incidents, documenting the cause, resolution, and preventative actions.
- Create and maintain a Knowledge Base (KB), runbooks, and Standard Operating Procedures (SOPs) for recurring issues to empower L1 and enable customer self-service.
- Proactively identify technical deficiencies in processes and systems and recommend improvements to enhance service quality.
- Customer Communication:
- Maintain professional, clear, and timely communication with customers, explaining complex technical issues and resolutions in an understandable manner.
Required Technical Skills
- Programming/Scripting:
- Strong proficiency in Python (for scripting, automation, debugging, and data manipulation).
- Experience with other scripting languages like Bash or Shell
- Databases:
- Proficiency in SQL for complex querying, debugging data flow issues, and data extraction.
- Application/Web Technologies:
- Understanding of API concepts (RESTful/SOAP) and experience troubleshooting them using tools like Postman or curl.
- Knowledge of application architectures (e.g., microservices, SOA) is a plus.
- Monitoring & Tools:
- Experience with support ticketing systems (e.g., JIRA, ServiceNow).
- Familiarity with log aggregation and monitoring tools (Kibana, Splunk, ELK Stack, Grafana)
An L2 Technical Support Engineer with Python knowledge is responsible for handling escalated, more complex technical issues that the Level 1 (L1) support team cannot resolve. Your primary goal is to perform deep-dive analysis, troubleshooting, and problem resolution to minimize customer downtime and ensure system stability.
Python is a key skill, used for scripting, automation, debugging, and data analysis in this role.
Key Responsibilities
- Advanced Troubleshooting & Incident Management:
- Serve as the escalation point for complex technical issues (often involving software bugs, system integrations, backend services, and APIs) that L1 support cannot resolve.
- Diagnose, analyze, and resolve problems, often requiring in-depth log analysis, code review, and database querying.
- Own the technical resolution of incidents end-to-end, adhering strictly to established Service Level Agreements (SLAs).
- Participate in on-call rotation for critical (P1) incident support outside of regular business hours.
- Python-Specific Tasks:
- Develop and maintain Python scripts for automation of repetitive support tasks, system health checks, and data manipulation.
- Use Python for debugging and troubleshooting by analyzing application code, API responses, or data pipeline issues.
- Write ad-hoc scripts to extract, analyze, or modify data in databases for diagnostic or resolution purposes.
- Potentially apply basic-to-intermediate code fixes in Python applications in collaboration with development teams.
- Collaboration and Escalation:
- Collaborate closely with L3 Support, Software Engineers, DevOps, and Product Teams to report bugs, propose permanent fixes, and provide comprehensive investigation details.
- Escalate issues that require significant product changes or deeper engineering expertise to the L3 team, providing clear, detailed documentation of all steps taken.
- Documentation and Process Improvement:
- Conduct Root Cause Analysis (RCA) for major incidents, documenting the cause, resolution, and preventative actions.
- Create and maintain a Knowledge Base (KB), runbooks, and Standard Operating Procedures (SOPs) for recurring issues to empower L1 and enable customer self-service.
- Proactively identify technical deficiencies in processes and systems and recommend improvements to enhance service quality.
- Customer Communication:
- Maintain professional, clear, and timely communication with customers, explaining complex technical issues and resolutions in an understandable manner.
Required Technical Skills
- Programming/Scripting:
- Strong proficiency in Python (for scripting, automation, debugging, and data manipulation).
- Experience with other scripting languages like Bash or Shell
- Databases:
- Proficiency in SQL for complex querying, debugging data flow issues, and data extraction.
- Application/Web Technologies:
- Understanding of API concepts (RESTful/SOAP) and experience troubleshooting them using tools like Postman or curl.
- Knowledge of application architectures (e.g., microservices, SOA) is a plus.
- Monitoring & Tools:
- Experience with support ticketing systems (e.g., JIRA, ServiceNow).
- Familiarity with log aggregation and monitoring tools (Kibana, Splunk, ELK Stack, Grafana)
We are seeking a motivated Data Analyst to support business operations by analyzing data, preparing reports, and delivering meaningful insights. The ideal candidate should be comfortable working with data, identifying patterns, and presenting findings in a clear and actionable way.
Key Responsibilities:
- Collect, clean, and organize data from internal and external sources
- Analyze large datasets to identify trends, patterns, and opportunities
- Prepare regular and ad-hoc reports for business stakeholders
- Create dashboards and visualizations using tools like Power BI or Tableau
- Work closely with cross-functional teams to understand data requirements
- Ensure data accuracy, consistency, and quality across reports
- Document data processes and analysis methods
Qualification
• Bachelor’s or master’s degree in computer science, Electrical Engineering, Electronics, or related field
• 5 – 8 years of hands-on experience in Embedded Systems and AI/ML development
• Strong programming proficiency in Python, C/C++, and embedded development
• Practical experience with embedded ML frameworks such as TensorFlow Lite, ONNX Runtime, Edge Impulse, or similar
• Solid understanding of real-time embedded systems, microcontroller architectures, and communication protocols
• Experience with model optimization techniques (quantization, pruning, hardware-specific acceleration) is a plus
• Familiarity with edge hardware platforms such as ARM Cortex, STM32, ESP32, NVIDIA Jetson, or similar is desirable.
Your job Responsibilities :
• Develop, optimize, and deploy machine learning models for embedded and edge devices
• Ensure real-time performance, memory efficiency, and low-power operation of on-device AI solutions
• Integrate ML algorithms with microcontrollers, embedded controllers, and edge computing platforms
• Implement pipelines for model conversion, quantization, and hardware acceleration
• Collaborate with software, controls, and hardware engineers to deliver production-grade embedded AI systems
• Participate in prototyping, testing, benchmarking, and continuous improvement of embedded AI solutions
• Work with the global research teams to translate concepts into scalable prototypes for industrial automation.
Flam is building AI Infrastructure for Brands in Immersive Advertising spanning across all channels viz. Digital, Broadcast TV, Retail, Communications, Print, OOH etc.
Vision
The Immersive & Interactive Layer for Every Screen & Surface
Flam aims to redefine how consumers interact with ads, content in every shape and form, retail aisles, live broadcasts and fan moments—turning content and interfaces into shoppable, shareable experiences that deliver measurable ROI.
Flam has raised a $14 million Series A round led by global technology investor RTP Global with participation from Dovetail and select others bringing the total funding to $22 million.
The next phase of growth is to accelerate R&D on its app-less GenAI infrastructure that lets brands create, publish and measure high-fidelity MR, 3D & Digital experiences in <300 ms on any smartphone—no app download required.
The same infra already powers advertising for Google, Samsung, Emirates and hundreds of global enterprises & agency powerhouses.
Key Focus Areas
Product Roadmap
- Upcoming releases include GenAI-driven 3D asset generation
- Democratising MR deployment at scale
- Enterprise Suite of Products across Industries
- Infrastructure for broadcasters and fan engagement
Geography
- Funds will support new enterprise pods in North America, Europe and the Middle East
- Deepening Asia operations
Partnerships
- Flam will expand its partner program for creative studios and global platforms
- Enabling Fortune 500 brands to move from pilot to rapid global roll-out
Role Overview
We’re looking for a Mobile Automation Engineer (Native iOS & Android) who can write and maintain automated test cases in Swift and Java for our native iOS and Android apps. You’ll help test Mixed Reality (MR) features, backend-integrated flows, and ensure app quality at scale. You’ll collaborate with product, development, and QA teams to enable fast, bug-free releases.
Key Responsibilities
- Write and maintain automation test cases in Swift (XCUITest) for iOS and Java (Espresso/UIAutomator) for Android.
- Build and evolve robust test suites for core app features, including MR interactions, media workflows, and camera/sensor integrations.
- Automate end-to-end flows that include backend APIs (authentication, media processing, analytics, etc.).
- Collaborate with developers to integrate automation into CI/CD pipelines (GitHub Actions, Bitrise).
- Perform regression, smoke, and exploratory testing across a wide range of devices and OS versions.
- Raise and track bugs with detailed reproduction steps and logs.
Required Qualifications
- 2–6 years of experience in mobile test automation.
- Strong programming experience with Java (for Android) and Swift (for iOS).
- Hands-on experience with Espresso, UIAutomator, and XCUITest.
- Proficient in testing REST APIs and using tools like Postman, Charles Proxy, etc.
- Experience working with CI/CD tools and device testing infrastructure such as Firebase Test Lab or BrowserStack.
Nice-to-Have (Bonus)
- Exposure to ARKit (iOS) or ARCore (Android).
- Basic understanding of graphics/rendering stacks such as OpenGL, Metal, or Vulkan.
- Experience testing camera, sensor, or motion-driven features.
- Background in early-stage startup environments or rapid product development cycles.
What We Offer
- Opportunity to work on a cutting-edge MR platform with a highly creative and driven team.
- Full ownership and autonomy of mobile automation strategy.
- Flexible remote work environment with a performance-driven culture.
- Competitive salary and ESOPs.
- A real chance to make an impact in the fast-evolving world of mobile Mixed Reality.
Job Description:
Required skills and qualifications
- 3+ years of experience as a Python Developer with a strong portfolio of projects.
- hands on exp in react.js
- Bachelor's degree in Computer Science, Software Engineering or a related field.
- In-depth understanding of the Python software development stacks, ecosystems, frameworks and tools such as Numpy, Scipy, Pandas, Dask, spaCy, NLTK, sci-kit-learn and PyTorch.
- Experience with front-end development using Angular.js HTML, CSS, and JavaScript.
- Familiarity with database technologies such as SQL and NoSQL.
- Excellent problem-solving ability with solid communication and collaboration skills.
Preferred skills and qualifications
- Experience with popular Python frameworks such as Django, Flask or Pyramid.
- Knowledge of data science and machine learning concepts and tools.
- A working understanding of cloud platforms such as AWS, Google Cloud or Azure.
- Contributions to open-source Python projects or active involvement in the Python community.
Machine Learning Engineer | 3+ Years | Mumbai (Onsite)
Location: Ghansoli, Mumbai
Work Mode: Onsite | 5 days working
Notice Period: Immediate to 30 Days preferred
About the Role
We are hiring a Machine Learning Engineer with 3+ years of experience to build and deploy prediction, classification, and recommendation models. You’ll work on end-to-end ML pipelines and production-grade AI systems.
Must-Have Skills
- 3+ years of hands-on ML experience
- Strong Python (Pandas, NumPy, Scikit-learn, TensorFlow / PyTorch)
- Experience with feature engineering, model training & evaluation
- Hands-on with Azure ML / Azure Storage / Azure Functions
- Knowledge of modern AI concepts (embeddings, transformers, LLMs)
Good to Have
- MLOps tools (MLflow, Docker, CI/CD)
- Time-series forecasting
- Model serving using FastAPI
Why Join Us?
- Work on real-world ML use cases
- Exposure to modern AI & LLM-based systems
- Collaborative engineering environment
- High ownership & learning opportunities
Exp: 7- 10 Years
CTC: up to 35 LPA
Skills:
- 6–10 years DevOps / SRE / Cloud Infrastructure experience
- Expert-level Kubernetes (networking, security, scaling, controllers)
- Terraform Infrastructure-as-Code mastery
- Hands-on Kafka production experience
- AWS cloud architecture and networking expertise
- Strong scripting in Python, Go, or Bash
- GitOps and CI/CD tooling experience
Key Responsibilities:
- Design highly available, secure cloud infrastructure supporting distributed microservices at scale
- Lead multi-cluster Kubernetes strategy optimized for GPU and multi-tenant workloads
- Implement Infrastructure-as-Code using Terraform across full infrastructure lifecycle
- Optimize Kafka-based data pipelines for throughput, fault tolerance, and low latency
- Deliver zero-downtime CI/CD pipelines using GitOps-driven deployment models
- Establish SRE practices with SLOs, p95 and p99 monitoring, and FinOps discipline
- Ensure production-ready disaster recovery and business continuity testing
If interested Kindly share your updated resume at 82008 31681




















