About Inizio Ignite:

Inizio Ignite is the global advisory partner for health and life sciences, encompassing connected expertise across Research Partnership, Putnam, Vynamic, and STEM. Guided by purpose, passion, and precision, we collaborate with clients to ignite impact, accelerate performance, and deliver lasting change for patients. By uniting strategy, insights, and innovation with a unique depth and breadth of expertise, we drive transformation and shape the future of health.

Company Descriptor

Inizio Ignite is the global advisory partner for health and life sciences, encompassing connected expertise across Research Partnership, Putnam, Vynamic, and STEM. Guided by purpose, passion, and precision, we collaborate with clients to ignite impact, accelerate performance, and deliver lasting change for patients. By uniting strategy, insights, and innovation with a unique depth and breadth of expertise, we drive transformation and shape the future of health. Our Research Partnership healthcare market research team provides research and insights to inform and power healthcare decisions. Serving a variety of clients across the lifecycle, our expertise includes data, research & insights (proprietary syndicated and custom research) and brand tracking (ATU). Proudly part of Inizio – the market-leading commercialization partner for health and life sciences. From early-stage development to loss of exclusivity, we simplify complexity, unlock value, and make collaboration seamless at every pivotal moment – supporting confident, insight-driven decisions that move innovation forward. 

Role Overview

The Data Delivery & Dashboards Executive role will report into the Dashboard Manager. The Data Delivery & Dashboards Executive will be a key member of the newly formed India-based Data Management & Delivery Hub, supporting quantitative healthcare market research projects across global markets. As a Dashboard Developer Executive, you build and maintain high impact dashboards and data visualizations that transform raw market research data into actionable insights. You’ll collaborate with researchers, analysts, and engineers to ensure data flows seamlessly from collections to visual storytelling. You will also support the team in delivering insightful, user-friendly dashboards through automated tools and off-the-shelf solutions. This is a fantastic opportunity to develop your skills in data management, quality assurance, and data visualisation, while working alongside an experienced team in a dynamic, global environment. Skill Set required

What you'll be doing

Brand Equity tracking support with our in-house platform:

• Maintain the pipeline for the project data process flow (this includes receival of data into in-hosue Tool, through the data processing stage into the storage mart, through the python utilities into required outputs)
• Maintain and update python utilities when required due to changes from the research team
• Manage and rectify when failures occur in the pipeline, liaising with both the data providers, research team and developers on the dashboard
• Manage the storage mart and data warehouse
• Support team with edits in-house platform

Data Quality Checks:
Assist in performing detailed quality control checks on large and complex datasets to ensure accuracy, completeness, and consistency.

Data Transformation & Standardisation:
Support the transformation and standardisation of data files to align with internal data structures, project needs, and client-specific formats.

Dashboard Support & Maintenance:
Assist in the creation, population, and maintenance of dashboards using off-the-shelf tools (e.g., Power BI, Tableau, or similar platforms), ensuring outputs are clear, accurate, and aligned with research objectives.

Data Delivery Management:
Help manage and organise the final delivery of data files and dashboards to internal teams and clients, ensuring timely and error-free execution.

Collaboration Across Teams:
Work closely with internal stakeholders including Development team, Data Processing, Scripting, Project Management and Research teams to ensure smooth handovers and integration of deliverables.

Documentation & Reporting:
Maintain clear documentation of processes, data transformation steps, and QC logs to support transparency, reproducibility, and audit-readiness.

Continuous Learning & Development:
Engage in training opportunities to build knowledge in healthcare data, market research workflows, dashboarding tools, and data handling best practices.

What you'll need

Your skills and experience:

Technical Expertise

• Atleast 5+ years expertise in languages like Python and SQL.
• Mastery in advanced Core Python (generators, decorators, OOP, async programming), architecture design.
• Proficient in libraries like Pandas - Joins, Melting, handling missing values, NumPy, TensorFlow etc.
• Proficient in SQL (PostgreSQL, MySQL).
• Understanding MVC/MVT, microservices, and system design principles.
• Experience in setup of data pipelines is highly desirable.
• Knowledge of high-performance framework (Django, FastAPI, Flask) is a plus.
• Cloud platform expertise (AWS, Azure, GCP), and building ETL/ELT pipelines.
• Experience in version control system.

Ideal candidate should be

• You are proactive, dedicated and enthusiastic, with a ‘can do’ attitude and approach
• You demonstrate a high level of accuracy and attention to detail, as well as strengths in organisation and prioritisation
• You are a collaborative team player who works well with colleagues
• You communicate ideas and issues in an effective, straightforward fashion
• Logical thinking and ability to troubleshoot errors or discrepancies in tabulated data.
• Ability to interpret tabulation specifications and apply them accurately.
• Problem-solving skills (particularly relating to situations requiring analytical judgement and establishing best practice solutions)
• You are highly motivated and want to seize opportunities to develop new skills and progress your career

Artificial Intelligence

Inizio may use AI technologies to support certain aspects of our recruitment process, but all hiring decisions are made by our human recruiting team. We are committed to fair, inclusive, and human-led hiring practices. Don't meet every requirement? That's okay! We are dedicated to building a diverse, inclusive, and authentic workplace. If you're excited about this role but your experience doesn't perfectly fit every qualification, we encourage you to apply anyway. You may be just the right person for this role or others.

We’re seeking a Senior Application Security Engineer to help strengthen Zeta’s application and platform security posture. You’ll play a critical role in embedding security throughout the software development lifecycle, ensuring our systems, applications, and AI-driven platforms are built securely from the ground up.

Zeta operates at massive scale, powering billions of consumer profiles and petabytes of data across real-time, AI-powered marketing platforms. In this role, you’ll collaborate with engineering and product teams to identify risks, implement secure design principles, and build automated controls that enable secure innovation.

This position offers significant technical scope, cross-functional visibility, and opportunities to contribute directly to the company’s overall security maturity.

Key Responsibilities:

Threat Modeling & Security Validation

• Conduct threat modeling and security reviews for distributed cloud-native systems.
• Perform security code reviews, static/dynamic analysis (SAST/DAST), and dependency scanning.
• Participate in incident response exercises and red/blue team simulations.
• Assess third-party libraries, APIs, and vendor integrations for security compliance.

Embedding Security into the SDLC

• Partner with developers and QA engineers to embed security testing into CI/CD pipelines.
• Review architecture and design documents to identify and mitigate risks early.
• Contribute to security automation initiatives and tooling to improve developer velocity.
• Support security checkpoints in release and deployment processes.

Emerging Threat Monitoring & Proactive Defense

• Stay current on evolving security risks, frameworks, and attack vectors, including AI/ML-specific threats (e.g., prompt injection, model poisoning).
• Assist in designing and deploying proactive defense mechanisms across applications and data platforms.
• Support investigations and post-incident reviews to strengthen detection and prevention capabilities.

Security Awareness & Policy Implementation

• Advocate secure coding and best practices through code reviews, workshops, and documentation.
• Contribute to internal security standards and playbooks.
• Collaborate closely with Engineering, DevOps, and Product teams to foster a security-first culture.

What You Need to Succeed

• Bachelor’s degree in computer science, Cybersecurity, or related field, or equivalent experience.
• 2 - 4 years of experience in Application Security, DevSecOps, or Secure Software Development.
• Strong understanding of OWASP Top 10, SANS CWE Top 25, and general application threat modeling.
• Experience with frameworks and architectures such as React, Node.js, Django, or FastAPI.
• Knowledge of securing APIs, microservices, and authentication mechanisms (OAuth2, OIDC, JWT).
• Experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes).
• Working knowledge of security testing tools (e.g., Semgrep, SonarQube, Burp Suite, Zap, Trivy).
• Solid collaboration and communication skills with cross-functional teams.

Nice to Have

• Familiarity with AI/ML security concepts such as data poisoning, adversarial testing, and model integrity.
• Experience with automation frameworks and scripting for security testing.
• Relevant certifications (e.g., OSCP, GWAPT, CSSLP, or ML/AI-specific security certifications)

WHO WE ARE

Zeta Global is a NYSE listed data-powered marketing technology company with a heritage of innovation and industry leadership. Founded in 2007 by entrepreneur David A. Steinberg and John Sculley, former CEO of Apple Inc and Pepsi-Cola, the Company combines the industry’s 3rd largest proprietary data set (2.4B+ identities) with Artificial Intelligence to unlock consumer intent, personalize experiences and help our clients drive business growth.

Our technology runs on the Zeta Marketing Platform, which powers ‘end to end’ marketing programs for some of the world’s leading brands. With expertise encompassing all digital marketing channels – Email, Display, Social, Search and Mobile – Zeta orchestrates acquisition and engagement programs that deliver results that are scalable, repeatable and sustainable.

Zeta Global is an Equal Opportunity/Affirmative Action employer and does not discriminate on the basis of race, gender, ancestry, color, religion, sex, age, marital status, sexual orientation, gender identity, national origin, medical condition, disability, veterans status, or any other basis protected by law.

ZETA IN THE NEWS!

https://zetaglobal.com/press/?cat=press-releases 

Job Title: GenAI Developer/ Engineer

About Us

“Capco, a Wipro company, is a global technology and management consulting firm. Awarded with Consultancy of the year in the British Bank Award and has been ranked Top 100 Best Companies for Women in India 2022 by Avtar & Seramount. With our presence across 32 cities across globe, we support 100+ clients across banking, financial and Energy sectors. We are recognized for our deep transformation execution and delivery. 

WHY JOIN CAPCO?

You will work on engaging projects with the largest international and local banks, insurance companies, payment service providers and other key players in the industry. The projects that will transform the financial services industry.

MAKE AN IMPACT

Innovative thinking, delivery excellence and thought leadership to help our clients transform their business. Together with our clients and industry partners, we deliver disruptive work that is changing energy and financial services.

#BEYOURSELFATWORK

Capco has a tolerant, open culture that values diversity, inclusivity, and creativity.

CAREER ADVANCEMENT

With no forced hierarchy at Capco, everyone has the opportunity to grow as we grow, taking their career into their own hands.

DIVERSITY & INCLUSION

We believe that diversity of people and perspective gives us a competitive advantage.

Location - Bangalore

Experience - 6 to 10

Skills and Qualifications:

Preferred skills:

Programming: Advanced Python (async programming, OOP, REST APIs, FastAPI, Flask, Pandas, NumPy)

GenAI Frameworks: LangChain, LlamaIndex, Haystack, Semantic Kernel

Machine Learning and AI: Snowflake Cortex, TensorFlow, PyTorch

Key Responsibilities:

• Develop scalable Python applications focused on GenAI
• Knowledge of Snowflake Cortex is a big plus.
• Learn and apply techniques like document chunking and embeddings
• Proficient in both SQL (e.g., PostgreSQL, MySQL) and NoSQL (e.g., MongoDB, Cassandra) databases, including schema design and optimization.
• Design, develop, and fine-tune applications built around foundation models (e.g., LLMs, multimodal models) for specific business needs
• Implement and experiment with generative AI techniques, including but not limited to Retrieval-Augmented Generation (RAG) and prompt engineering
• Lead the implementation of intelligent autonomous agents and multi-agent systems capable of complex decision-making, task execution, and interaction with external systems
• Utilize and contribute to agentic AI frameworks (e.g., LangChain, AutoGen, Semantic Kernel, Crew AI) to build robust and scalable AI agents
• Develop and integrate Model Context Protocol (MCP) solutions to standardize how AI applications access and utilize external data sources, tools, and real-time information
• Lead the development of full-stack applications that integrate generative AI models and agentic systems, ensuring seamless user experiences
• Work with front-end technologies (e.g., React, Angular, Vue.js, JavaScript, TypeScript, HTML, CSS) and back-end frameworks (e.g., Python with Flask/Django/FastAPI, Node.js, Go)
• Design and implement scalable RESTful APIs and microservices to expose AI functionalities
• Deploy, manage, and optimize AI/ML workloads and full-stack applications on at least one major cloud platform (AWS, Azure, or GCP)
• Implement LLMOps/MLOps and DevOps best practices for continuous integration, continuous delivery (CI/CD), model deployment, monitoring, and lifecycle management
• Follow coding best practices and contribute to testing and documentation
• Stay abreast of the latest advancements in generative AI, agentic systems, foundation models, and related fields through continuous research and experimentation
• Collaborate effectively with cross-functional teams, including product managers, data scientists, researchers, and other engineers
• Communicate effectively with both technical and non-technical team members, ensuring alignment and understanding across all project phases.

Position Summary:

We are looking for a Staff Software Engineer – Full Stack & AI Innovation with strong hands-on experience in TypeScript (Node.js, JavaScript), and/or Python and a passion for leveraging AI-driven code generation tools to accelerate development. You will play a critical role in operationalizing GenAI-based code generation platform. This role involves translating product specifications into structured inputs for GenAI tools, reviewing the code generated by GenAI tool, and providing feedback to product engineering team to improve quality and performance of the GenAI tool.

You will work closely with product managers, software engineers, and AI specialists to ensure that the generated code aligns with business and technical requirements. The ideal candidate is curious, adaptable, critic and eager to evaluate AI-assisted code generation tool.

Key Responsibilities:

• Develop, Analyze and structure product specifications for input into GenAI programming tools.
• Operate GenAI systems to generate code based on structured inputs.
• Perform detailed code reviews of GenAI-generated programs to ensure correctness, performance, and maintainability.
• Utilize several other AI-powered code generation tools (Cursor.ai, Windsurf, etc.) to compare and optimize GenAI tool in subject.
• Provide feedback to improve GenAI model outputs and prompt engineering strategies.
• Review and validate generated code for correctness, efficiency, and adherence to coding standards.
• Maintain documentation of input formats, code review findings, and feedback cycles.
• Stay current with advancements in GenAI programming tools and code generation technologies.
• Participate in code reviews and mentor junior developers.

Basic Qualifications:

• Bachelor’s/master’s in computer science, Engineering, or equivalent experience.
• 8 to 10 years' experience with strong expertise in at least one of the following:
• TypeScript / JavaScript (Node.js, React, Next.js, Angular, Vue.js)
• Python (Django, Flask, FastAPI/ RestAPI)
• Person must have designed, developed, and maintained scalable front-end and back-end applications using TypeScript/JavaScript/Python.
• Solid understanding of front-end technologies (HTML5, CSS3, Tailwind, Material UI or similar).
• Familiarity with GenAI tools and LLM-based code generation platforms (e.g., GitHub Copilot, CodeWhisperer, etc.).
• Experience with databases: SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, DynamoDB).
• Hands-on experience with Cursor.ai and/or Windsurf (plus other AI-assisted coding tools like GitHub Copilot, Tabnine, Codeium).
• Strong understanding of software development principles and code review practices.
• Familiar with Code review tools (e.g. GitHub, GitLab, Bitbucket etc)
• Strong grasp of software design principles (OOP, SOLID, microservices).
• Excellent problem-solving, debugging, and collaboration skills.
• Excellent analytical and communication skills.
• Ability to work independently and collaboratively in a fast-paced environment.

Preferred Qualifications:

• Experience working with prompt engineering or structured input design for GenAI systems.
• Exposure to MLOps or AI model evaluation frameworks.
• Knowledge of software architecture and design patterns.
• Knowledge of containerization (Docker, Kubernetes).
• Exposure to serverless architecture and event-driven systems.
• Contribution to open-source or AI-driven development communities.

Reports To

Director, NOC Delivery & Automation

What You Will Be Doing

• Lead the development of cutting-edge AI solutions across Voice AI, Computer Vision, and Conversational AI domains.
• You will architect and build production-grade AI systems that enhance our monitoring and analytics platform, improve customer support experiences, and enable intelligent automation across our EV charging infrastructure.
• Work closely with cross-functional teams to design, build, and deploy AI-powered solutions that directly improve the experience for millions of EV drivers and operators worldwide.

What You Will Bring to ChargePoint

• Deep expertise in Python, FastAPI, Django, and modern backend frameworks for AI service development
• Hands-on experience with LLM engineering: LangChain, LangGraph, Amazon Bedrock/OpenAI APIs, prompt engineering, and RAG architectures
• Strong experience with Elasticsearch including vector search, hybrid search (BM25 + dense embeddings), and semantic retrieval
• Proficiency with vector databases (Qdrant, ChromaDB, Pinecone) and embedding-based retrieval systems
• Experience building production LLM systems with focus on low-latency inference, caching strategies, and observability
• Strong foundation in distributed systems design, microservices architecture, and event-driven patterns (Kafka, RabbitMQ)
• Experience with cloud platforms (AWS/GCP), containerization (Docker, Kubernetes), and CI/CD pipelines
• Strong knowledge of PostgreSQL (query optimization, schema design), Redis, MongoDB, and message queues
• Track record of optimizing system performance with measurable improvements (latency reduction, cost optimization)

Requirements

• 8+ years of software engineering experience with 4+ years focused on AI/ML systems in production
• Tech/B.E. or M.S. in Computer Science, Machine Learning, or related field from a top-tier institution
• Experience with Voice AI systems, telephony integrations (Genesys, SIP), and speech processing pipelines
• Background in computer vision, image processing, or visual transformer architectures
• Data engineering experience with Airflow, DBT, and analytics platforms (ClickHouse, Trino, Iceberg)
• Experience working with massive datasets (50TB+) and building scalable data pipelines
• Hands-on experience with model fine-tuning techniques (LoRA/QLoRA) for domain-specific applications
• Familiarity with RLHF-style preference tuning and model alignment techniques
• Experience with observability and monitoring stacks including metrics, logging, and tracing
• Certifications in Generative AI, Agentic AI, or related specialization.

Location

Bangalore, India

Role Overview

We’re looking for a Staff Software Engineer to serve as a technical pillar across our engineering teams. This role is ideal for a highly experienced backend engineer who thrives on solving hard problems, mentoring others, and guiding architecture across multiple domains. You’ll be a multiplier, operating independently, shaping technical direction, and partnering with engineers 
and product teams to raise the bar across the organization. 

You’ll work across squads to improve system performance, reliability, and scalability, while owning high-impact projects that support our Advertising platform. Whether it’s unblocking performance bottlenecks, leading design for new backend services, or reducing tech debt, your contributions will have a far-reaching impact. 

This is a high-impact role where you will not only write mission-critical code but also provide the AI-driven roadmap to help our team automate optimizations and anomaly detection within our data pipelines. 

Core Responsibilities 

• Own and lead design for major backend systems across Ads, focusing on performance, scalability, and reliability. 

• Serve as the subject matter expert for Python & Django. You will optimize application performance, focusing on concurrency, memory management, and efficient integration with our data layer. 

• Architect and optimize large scale data workflows for Ads. You will be expected to tune complex queries in Hive, Flink, or Trino to reduce latency and cost while maintaining data integrity. 

• Actively profile our stack to identify bottlenecks. You should be comfortable moving between high-level architectural planning and low-level query optimization. 

• Guide the engineering team in leveraging AI and Machine Learning for predictive analytics, automated QA of data streams, and enhancing our internal decision-making engines.  

• Collaborate with multiple teams to address cross team concerns (e.g., shared libraries, infra patterns, tech debt, security) 

• Tackle escalated production issues / incidents by providing quick remediations 

• Raise the engineering bar through elite code review, technical RFCs and hands on guidance for senior and mid-level engineers. 

• Work with EMs and PMs to shape technical roadmap and support long-term platform health. 
   

Technical Requirements 

• 10+ years in backend engineering with a proven track record of scaling systems in Ad-Tech, Fintech or High-Scale SaaS. 

• Deep expertise in building high concurrency, asynchronous services. You know how to scale Django beyond standard patterns. 

• Strong experience with distributed systems (e.g. Flink, Spark, Hive or SingleStore). You are an expert at optimizing distributed joins and partitioned datasets. 

• Advanced SQL skills; you can dissect an execution plan and optimize complex analytical queries for both performance and cloud cost. 

• Experience managing “Sync vs Async” data flows and ensuring consistency across disparate data stores 

• Experience with containerization technologies such as Docker and Kubernetes. 

• Familiarity with CI/CD pipelines and modern DevOps practices. 

• Strong communication skills with the ability to explain complex technical concepts to non-technical stakeholders is a must. 

• Proven leadership experience, including mentoring engineers and leading technical initiatives. 
   

Ideal Candidate 

• The Pragmatic Architect: You understand the trade-offs between “perfect” code and “performant” code in a high throughput environment. 

• The Data Integrity Advocate: You care deeply about how data is captured at the source just as much as how it is processed at scale. 

• The Force Multiplier: You don’t just solve problems; you build systems and processes that prevent them from recurring. 

• The Mentor: You thrive on helping others grow and can explain complex architectural concepts to both engineers and stakeholders. 

Reports To

Director, NOC Delivery & Automation

What You Will Be Doing

• Lead the development of cutting-edge AI solutions across Voice AI, Computer Vision, and Conversational AI domains.
• You will architect and build production-grade AI systems that enhance our monitoring and analytics platform, improve customer support experiences, and enable intelligent automation across our EV charging infrastructure.
• Work closely with cross-functional teams to design, build, and deploy AI-powered solutions that directly improve the experience for millions of EV drivers and operators worldwide.

What You Will Bring to ChargePoint

• Deep expertise in Python, FastAPI, Django, and modern backend frameworks for AI service development
• Hands-on experience with LLM engineering: LangChain, LangGraph, Amazon Bedrock/OpenAI APIs, prompt engineering, and RAG architectures
• Strong experience with Elasticsearch including vector search, hybrid search (BM25 + dense embeddings), and semantic retrieval
• Proficiency with vector databases (Qdrant, ChromaDB, Pinecone) and embedding-based retrieval systems
• Experience building production LLM systems with focus on low-latency inference, caching strategies, and observability
• Strong foundation in distributed systems design, microservices architecture, and event-driven patterns (Kafka, RabbitMQ)
• Experience with cloud platforms (AWS/GCP), containerization (Docker, Kubernetes), and CI/CD pipelines
• Strong knowledge of PostgreSQL (query optimization, schema design), Redis, MongoDB, and message queues
• Track record of optimizing system performance with measurable improvements (latency reduction, cost optimization)

Requirements

• 8+ years of software engineering experience with 4+ years focused on AI/ML systems in production
• Tech/B.E. or M.S. in Computer Science, Machine Learning, or related field from a top-tier institution
• Experience with Voice AI systems, telephony integrations (Genesys, SIP), and speech processing pipelines
• Background in computer vision, image processing, or visual transformer architectures
• Data engineering experience with Airflow, DBT, and analytics platforms (ClickHouse, Trino, Iceberg)
• Experience working with massive datasets (50TB+) and building scalable data pipelines
• Hands-on experience with model fine-tuning techniques (LoRA/QLoRA) for domain-specific applications
• Familiarity with RLHF-style preference tuning and model alignment techniques
• Experience with observability and monitoring stacks including metrics, logging, and tracing
• Certifications in Generative AI, Agentic AI, or related specialization.

Location

Bangalore, India

About the Role

As a full stack engineer, you'll work across the stack and be responsible for the entire customer journey from where we store data to our server application logic, to our front end UI. You’ll work closely with our other engineers to build and ship key features. We are detail oriented and value clean, modular, and high-performing code. You'll help architect and build our internal standards and frameworks. We love engineering-wide consistency in code and have huge ambitions on both client and server side.

Duties and Responsibilities:

• Collaborate with other engineers and designers to develop and ship features
• Design, build, and maintain our API’s
• Write efficient, modular, and reusable libraries and abstractions
• Design and build internal tooling to improve development efficiency
• Find and solve performance issues
• Participate in code reviews
• Communicate best practices to the team
• Mentor junior engineers

Qualifications and Skills:

• 4+ years of full time engineering experience
• Expert in Javascript
• Full stack engineering experience in Javascript/NodeJS, Python/Django, 
• Expert in SQL, database design, and familiarity with PostgreSQL
• Experience with front and back end architectural patterns of large, high-scale web applications
• Ability to design clean APIs and understanding of performance issues
• Experienced with software engineering best practices – design patterns, code reviews, unit and integration testing, etc.
• Ability to communicate technical specifications both verbal and written
• Command over front-end web technologies such as HTML, CSS, React
• Solid CS fundamentals – including data structures and algorithms
• Understanding of security, common attacks and defenses
• Knowledge of build systems configurations and setup - such as Webpack
• Experience with infrastructure, distributed systems, and deploying apps into a high-scale environment

#LI-KP1

#LI-Hybrid

About the Role:

We are seeking Senior Full Stack Engineer – Laravel & AI-Driven Platforms with a blend of backend robustness and frontend finesse. Leverage AI-powered coding tools to drive productivity and quality in building scalable, secure applications. 

Key Responsibilities:

• Architect and develop backend microservices using Python (Flask/Django) and Java (Spring Boot).
• Hands-on Experience in Laravel framework for building scalable, secure, and high-performance web applications
• Implement dynamic frontends using js, react.js, or Vue.js, ensuring seamless API integration.
• Integrate AI coding assistants like GitHub Copilot and Cursor AI for code generation, refactoring, and multi-file enhancement.
• Optimize data strategies with relational (PostgreSQL/MySQL) and NoSQL (MongoDB) databases; familiarity with platforms like Snowflake or Databricks is a plus.
• Mentor junior developers, lead code reviews, and drive architectural excellence.
• Drive Agile ceremonies using Jira and Confluence, ensuring alignment between development and business goals

Basic Qualifications:

• A Bachelor’s or Master's in one of: Computer Science or Related filed.
• 8+ years of experience in full-stack development.
• In-Depth experience with Java, Python, and frontend frameworks.
• Proven proficiency with AI-powered development tools.
• Strong problem-solving, communication, and remote collaboration skills.
• Experience with cloud environments desirable.

Preferred Qualifications:

• Domain knowledge in healthcare, fintech, or regulated environments.
• Exposure to event-driven architectures (Kafka, AWS SQS), GraphQL, and real-time technologies.
• Familiarity with modern test frameworks and code quality tools.
• The individual is expected to work in PST/ EST hours.

As a Frontend Lead , you will be responsible for developing cloud-first web applications. You will lead mixed discipline development teams to deliver a product to an agreed scope, time and budget and to a high standard.

Responsibilities :

• Align Sigmoid with key Client initiatives

• Interface daily with customers across leading Fortune 500 companies to understand strategic requirements

• Ability to understand business requirements and tie them to technology solutions

• Build a delivery plan with domain experts and stay on track

• Excellent experience in Application development and support, integration development and data management.

• Ability to identify risks and prepare an alternate plan of action

• Design and develop various components using technologies such as but not limited to   React.js, Node.js,  and across databases such as MongoDB, postgresQL, Firestore etcs.

• Provide technical direction and strategic leadership on Systems Design, Microservices Driven Architecture.

• Play the key role of hiring manager to build the future of Sigmoid.

• Resolving TLs in BAU design and coding tasks, stepping in to code if needed.

• Define the team structure, Hire and train the team as needed

• Stay up-to-date on the latest technology to ensure the greatest ROI for customer & Sigmoid

• Design and implement APIs.

• Review Database schemas and share expert knowledge to provide easy and simple but comprehensive data designs.

• Experience in defining technical requirements, planning and executing scope with teams, productionizing applications, and exploring new web technologies.

• Culture

• Must be a strategic thinker with the ability to think unconventional / out:of:box.

• Analytical and data driven orientation.

• Raw intellect, talent and energy are critical.

• Entrepreneurial and Agile : understands the demands of a private, high growth company.

• Ability to be both a leader and hands on "doer".  

Qualifications :- 

• 8+ year track record of relevant work experience and a Computer Science or related technical discipline is required

• 6+ years of experience in software development related to web technologies such as but not limited to Java, Python, JavaScript, React.js, Node.js Flask APIs, Django, MEAN stack, MERN stack

• Experience with Microservices design (including Event-Driven Architecture) and API design experience.

• Rich engineering experience in building high-quality, enterprise-level applications.

• Dynamic leader who has directly managed team of highly competent developers in fast paced work environment

Preferred Qualification: 

• Experience in agile methodology

• Development and support experience in Web Applications being either a frontend developer, a backend developer or a full stack developer.

• Architecting, developing, implementing and maintaining enterprise level applications.

• Experience with database modelling and development.

Reports To

Director, NOC Delivery & Automation

What You Will Be Doing

• Lead the development of cutting-edge AI solutions across Voice AI, Computer Vision, and Conversational AI domains.
• You will architect and build production-grade AI systems that enhance our monitoring and analytics platform, improve customer support experiences, and enable intelligent automation across our EV charging infrastructure.
• Work closely with cross-functional teams to design, build, and deploy AI-powered solutions that directly improve the experience for millions of EV drivers and operators worldwide.

What You Will Bring to ChargePoint

• Deep expertise in Python, FastAPI, Django, and modern backend frameworks for AI service development
• Hands-on experience with LLM engineering: LangChain, LangGraph, Amazon Bedrock/OpenAI APIs, prompt engineering, and RAG architectures
• Strong experience with Elasticsearch including vector search, hybrid search (BM25 + dense embeddings), and semantic retrieval
• Proficiency with vector databases (Qdrant, ChromaDB, Pinecone) and embedding-based retrieval systems
• Experience building production LLM systems with focus on low-latency inference, caching strategies, and observability
• Strong foundation in distributed systems design, microservices architecture, and event-driven patterns (Kafka, RabbitMQ)
• Experience with cloud platforms (AWS/GCP), containerization (Docker, Kubernetes), and CI/CD pipelines
• Strong knowledge of PostgreSQL (query optimization, schema design), Redis, MongoDB, and message queues
• Track record of optimizing system performance with measurable improvements (latency reduction, cost optimization)

Requirements

• 6+ years of software engineering experience with 4+ years focused on AI/ML systems in production
• Tech/B.E. or M.S. in Computer Science, Machine Learning, or related field from a top-tier institution
• Experience with Voice AI systems, telephony integrations (Genesys, SIP), and speech processing pipelines
• Background in computer vision, image processing, or visual transformer architectures
• Data engineering experience with Airflow, DBT, and analytics platforms (ClickHouse, Trino, Iceberg)
• Experience working with massive datasets (50TB+) and building scalable data pipelines
• Hands-on experience with model fine-tuning techniques (LoRA/QLoRA) for domain-specific applications
• Familiarity with RLHF-style preference tuning and model alignment techniques
• Experience with observability and monitoring stacks including metrics, logging, and tracing
• Certifications in Generative AI, Agentic AI, or related specialization.

Location

Bangalore, India

Reports To

Director, NOC Delivery & Automation

What You Will Be Doing

• Lead the development of cutting-edge AI solutions across Voice AI, Computer Vision, and Conversational AI domains.
• You will architect and build production-grade AI systems that enhance our monitoring and analytics platform, improve customer support experiences, and enable intelligent automation across our EV charging infrastructure.
• Work closely with cross-functional teams to design, build, and deploy AI-powered solutions that directly improve the experience for millions of EV drivers and operators worldwide.

What You Will Bring to ChargePoint

• Deep expertise in Python, FastAPI, Django, and modern backend frameworks for AI service development
• Hands-on experience with LLM engineering: LangChain, LangGraph, Amazon Bedrock/OpenAI APIs, prompt engineering, and RAG architectures
• Strong experience with Elasticsearch including vector search, hybrid search (BM25 + dense embeddings), and semantic retrieval
• Proficiency with vector databases (Qdrant, ChromaDB, Pinecone) and embedding-based retrieval systems
• Experience building production LLM systems with focus on low-latency inference, caching strategies, and observability
• Strong foundation in distributed systems design, microservices architecture, and event-driven patterns (Kafka, RabbitMQ)
• Experience with cloud platforms (AWS/GCP), containerization (Docker, Kubernetes), and CI/CD pipelines
• Strong knowledge of PostgreSQL (query optimization, schema design), Redis, MongoDB, and message queues
• Track record of optimizing system performance with measurable improvements (latency reduction, cost optimization)

Requirements

• 8+ years of software engineering experience with 4+ years focused on AI/ML systems in production
• Tech/B.E. or M.S. in Computer Science, Machine Learning, or related field from a top-tier institution
• Experience with Voice AI systems, telephony integrations (Genesys, SIP), and speech processing pipelines
• Background in computer vision, image processing, or visual transformer architectures
• Data engineering experience with Airflow, DBT, and analytics platforms (ClickHouse, Trino, Iceberg)
• Experience working with massive datasets (50TB+) and building scalable data pipelines
• Hands-on experience with model fine-tuning techniques (LoRA/QLoRA) for domain-specific applications
• Familiarity with RLHF-style preference tuning and model alignment techniques
• Experience with observability and monitoring stacks including metrics, logging, and tracing
• Certifications in Generative AI, Agentic AI, or related specialization.

Location

Bangalore, India

Why this role matters:

We're looking for a skilled Full Stack Engineer to join our expanding Jumper AI / Conversational Commerce platform team. This role requires robust experience in both frontend development (Vue.js / React.js) and backend development (Golang, Gin/Echo/Fiber). You will be instrumental in the design, development, and maintenance of scalable, secure, and high-performing applications that power our conversational commerce platform. This platform is used globally by enterprises to provide personalized, omnichannel experiences to their customers.

This position offers the chance to work across the entire technology stack, from crafting intuitive and dynamic user interfaces to building APIs and backend services deployed on Google Cloud Platform. You will collaborate closely with cross-functional teams, including design, product, data, and DevOps, to deliver impactful, customer-centric solutions.

Your key responsibilities:

• Design and build interactive, responsive frontend applications using Vue.js / React.js, and modern JavaScript.
• Translate UI/UX designs from Figma into high-quality, production-ready frontend code.
• Architect, build, and maintain backend services and REST APIs using Python (FastAPI, Flask, Django).
• Integrate frontend applications with backend APIs and third-party services to deliver seamless user experiences.
• Design and optimize data models, caching strategies, and database queries for performance and scalability.
• Deploy, scale, and operate applications on Google Cloud Platform with a focus on reliability and observability.
• Collaborate closely with Product, Design, QA, and Engineering teams; conduct code reviews and mentor junior engineers.

What you'll bring

• 5 plus years of hands-on full stack development experience in production environments.
• Strong proficiency in Vue.js or React.js, modern JavaScript (ES6+), HTML, and CSS.
• Solid backend engineering experience with Golang,  Gin / Echo / Fiber.
• Experience working with SQL and NoSQL databases such as PostgreSQL, BigQuery, Redis, or Datastore.
• Hands-on experience deploying and operating applications on Google Cloud Platform.
• Understanding of secure coding practices, authentication, and authorization using OAuth2 / JWT.
• Strong collaboration skills and experience working in Agile teams using Jira and Confluence.
• Embed AI assisted engineering into daily practice to accelerate delivery and enhance outcomes
• Proactively adopt emerging AI capabilities to improve workflows and shares best practices with the team

Experience we consider a plus:

• Experience building SaaS, e-commerce, or conversational AI platforms.
• Exposure to CI/CD pipelines using GitHub Actions or GCP Cloud Build.
• Experience optimizing frontend performance, accessibility, and responsiveness across devices.

How you’ll benefit:

• Attractive Discretionary Time Off
• Private Medical Insurance with optional dependent coverage
• Educational Assistance Reimbursement Program
• Opportunities for reimbursement for conferences, trainings, and other personal development events
• Maternity and Paternity Leave
• Ask recruiter for country specific information

Note: The purpose of this profile is to provide a general summary of essential responsibilities for the position and is not meant as an exhaustive list. Assignments may differ for individuals within the same role based on business conditions, departmental need or geographic location.

About the Opportunity

The Impact you bring to Cognite

Key Responsibilities

• Take product requirements and independently design, train, test, and deploy ML models (e.g., NLP, Vision-Language Models) for document parsing, layout analysis, and entity matching.
• Write high-quality, scalable production code (Python). Wrap your ML models into robust RESTful or gRPC APIs and integrate them seamlessly into existing industrial master data systems and workflows.
• Implement and maintain CI/CD pipelines for your models. Navigate complex deployment environments, manage containerized applications (Docker/Kubernetes), and optimize inference bottlenecks.
• Work with Principal engineers to translate high-level system architectures into concrete, scalable data pipelines and production-ready microservices.
• Design automated testing for ML pipelines. Monitor deployed models in production for data drift, latency, and accuracy, proactively implementing retraining strategies.
• Collaborate effectively with product managers to define ML capabilities. Provide code reviews and informal technical mentorship to engineers.

Required Skills and Qualifications

• Bachelor’s or Master's degree in Computer Science, Data Science, Software Engineering, or a related field.
• 6–10 years of industry experience in software engineering with a strong focus on machine learning, MLOps, and API development.
• Strong programming skills in Python with experience using backend web frameworks (e.g., FastAPI, Flask, Django) to serve models.
• Solid expertise in frameworks like PyTorch, TensorFlow, Hugging Face Transformers, or LangChain.
• Hands-on experience with containerization (Docker, Kubernetes), Linux environments, CI/CD tools (GitHub Actions, Jenkins), and deploying models on cloud platforms (AWS, Azure, or GCP).
• Solid understanding of software architecture, data structures, and algorithms to ensure performant code.
• Hands-on experience with distributed data processing frameworks (e.g., Apache Spark, Ray, Dask) and orchestrating complex data workflows (e.g., Apache Airflow, Dagster, Prefect).

What Sets your Role Apart

• Independently define the technical ML/SWE approach for ambiguous feature requests and deliver to production.
• Recognize the model is a small part of the solution; expertly manage aspects like API rate limiting, asynchronous processing, and robust data routing around ML components.
• Possess hands-on experience maintaining production ML models and designing resilient systems against poor data quality..

Preferred Qualifications

• Proven experience fine-tuning and deploying multimodal models for visual data and engineering diagrams in live environments.
• Built robust, production-grade RAG pipelines, expertly utilizing Vector/Graph Databases for high-accuracy entity retrieval.
• Familiar with orchestrating multi-step reasoning using frameworks like LangGraph or AutoGen for real-world problem-solving.
• Strong understanding of advanced OCR, layout parsing, and techniques for consistent structured JSON extraction from complex industrial PDFs. Manufacturing/OT dataset experience preferred.
• Ability to optimize LLMs/VLMs for inference latency (quantization, TensorRT, vLLM), potentially in constrained, on-premises environments.
• Experience with modern data lake/lakehouse architectures (Delta Lake, Iceberg, Databricks) for efficient querying and preprocessing of petabyte-scale unstructured data for LLM/VLM training and RAG.

 

 

 

Learn more about us

 

 

 

• Impact 2025
• Cognite's Industrial AI: Moonshot
• We’re globally recognized domain experts with an international presence that spans Phoenix, Houston, Oslo Tokyo, Bengaluru, and Abu Dhabi.

 

 

Equal Opportunity

Cognite is committed to creating a diverse and inclusive environment at work and is proud to be an equal opportunity employer. All qualified applicants will receive the same level of consideration for employment.

At Reltio®, we believe data should fuel business success. Reltio’s AI-powered data unification and management capabilities—encompassing entity resolution, multi-domain master data management (MDM), and data products—transform siloed data from disparate sources into unified, trusted, and interoperable data. Reltio Data Cloud™ delivers interoperable data where and when it's needed, empowering data and analytics leaders with unparalleled business responsiveness. Leading enterprise brands—across multiple industries around the globe—rely on our award-winning data unification and cloud-native MDM capabilities to improve efficiency, manage risk and drive growth.

At Reltio, our values guide everything we do. With an unyielding commitment to prioritizing our “Customer First”, we strive to ensure their success. We embrace our differences and are “Better Together” as One Reltio. We are always looking to “Simplify and Share” our knowledge when we collaborate to remove obstacles for each other. We hold ourselves accountable for our actions and outcomes and strive for excellence. We “Own It”. Every day, we innovate and evolve, so that today is “Always Better Than Yesterday”. If you share and embody these values, we invite you to join our team at Reltio and contribute to our mission of excellence.

Reltio has earned numerous awards and top rankings for our technology, our culture and our people. Reltio was founded on a distributed workforce and offers flexible work arrangements to help our people manage their personal and professional lives. If you’re ready to work on unrivaled technology where your desire to be part of a collaborative team is met with a laser-focused mission to enable digital transformation with connected data, let’s talk!

Job Summary:

As a Staff Full-Stack Engineer at Reltio, you will be a key member of our new Data Quality team, responsible for building a cutting-edge Data Observability platform from scratch. This platform will provide automated profiling and anomaly detection across various data sources, including Cloud Data Warehouses (Snowflake, BigQuery, Databricks, Redshift), dbt, Kafka/streaming, and SaaS applications (SFDC/Dynamics). You will contribute to both the API and UI development, ensuring a robust and intuitive experience. This is an individual contributor role.

Job Duties and Responsibilities:
(IC: Knowledge | Leadership | Communication)
(MGR: Knowledge | People Management & Leadership | Strategic Impact)
● Design, develop, and maintain the Data Observability platform using Python for the agentic and backend services.
● Implement robust and scalable APIs for seamless integration with various data sources
● Collaborate with frontend engineers on UI design and contribute to UI development as needed.
● Collaborate with cross-functional teams to define requirements, design solutions, and ensure the successful delivery of the platform.
● Contribute to the entire software development lifecycle, from conceptualization and design to deployment and ongoing maintenance
● Ensure the platform's performance, reliability, and security through rigorous testing and adherence to best practices
● Mentor junior/middle engineers and contribute to a culture of technical excellence and continuous improvement.

Skills You Must Have:
● 7+ years of experience in enterprise software development, building scalable backend platforms.
● Expert hands‑on experience developing backend services and platform APIs using Python (e.g., FastAPI, Flask, Django).
● Proven track record of delivering high‑quality enterprise SaaS platforms in high‑stakes environments.
● Experience delivering SaaS applications that scale and perform with low latency and high throughput.
● Strong written and verbal communication skills. Proven track record of unit and integration testing with CI/CD as part of your development process.
● Experience working with AI and automation tools to improve productivity and delivery speed (GitHub Copilot, Claude Code, Cursor, VSCode Kilo Code, etc.)

Skills That Are Nice to Have:
● Familiarity with cloud-based development using AWS, Google Cloud Platform (GCP), and/or Microsoft Azure services (such as Lambda, S3, Pub/Sub, Dataflow, or Azure Functions)
● Ability to deliver modern, intuitive UI/UX using React.js (and optionally TypeScript) with minimal guidance.
● Background in Data Quality systems, frameworks, or tools (e.g., profiling, validation, monitoring)
● Experience or understanding of Master Data Management (MDM) concepts, data modeling, and enterprise data integration patterns
● Exposure to containerization and orchestration technologies (Docker, Kubernetes)
● Familiarity with monitoring and observability stacks (Mezmo, Grafana, etc.)

Job Title: Senior Full Stack Machine Learning Engineer

About Us:

Inovalon is a leading healthcare technology company dedicated to revolutionizing the healthcare industry through innovative AI and machine learning solutions. Our mission is to leverage cutting-edge technology to improve health outcomes and streamline healthcare processes. We are looking for a talented and experienced Senior Full Stack Machine Learning Engineer to join our dynamic team.

Job Description:

• As a Senior Full Stack Machine Learning Engineer, you will play a pivotal role in designing, developing, and deploying machine learning models that drive our healthcare solutions. You will work closely with data scientists, software engineers, and product managers to build scalable and robust machine learning systems. Your expertise will help us transform healthcare data into actionable insights, ultimately improving patient care and operational efficiency.

Key Responsibilities:

• Model Development: Design, implement, and optimize machine learning models for various healthcare applications, including predictive analytics, natural language processing, and generative AI.
• End-to-End Deployment: Develop and maintain the full lifecycle of machine learning solutions, from data preprocessing and model training to deployment and monitoring in production environments.
• Data Engineering: Collaborate with data engineers to build and maintain data pipelines, ensuring the availability of high-quality data for training and inference.
• Software Development: Write clean, efficient, and maintainable code for machine learning applications, ensuring seamless integration with existing systems.
• Performance Optimization: Continuously monitor and improve the performance of machine learning models and systems, addressing issues related to scalability, latency, and accuracy.
• Collaboration: Work closely with cross-functional teams to understand business requirements and translate them into technical solutions.
• Mentorship: Provide guidance and mentorship to junior engineers, fostering a culture of continuous learning and innovation.

Qualifications:

• Education: Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field. Ph.D. is a plus.
• Experience: Minimum of 5 years of experience in machine learning, with a proven track record of deploying models in production environments.

Technical Skills:

• Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Proficiency in building applications leveraging generative AI technologies which includes LLM’s, prompt engineering, Vector Databases, RAG architectures and transfer learning is a plus.
• Experience with cloud platforms (e.g., AWS, GCP, Azure) and containerization technologies (e.g., Docker, Kubernetes).
• Strong knowledge of data structures, algorithms, and software engineering best practices.
• Familiarity with big data technologies (e.g., Hadoop, Spark) and data pipeline tools (e.g., Airflow, Kafka).
• Experience with frontend and backend development, including frameworks such as React, Node.js, and Django.

Domain Knowledge: Understanding of healthcare data standards (e.g., HL7, FHIR) and regulations (e.g., HIPAA) is a plus.

Soft Skills:

• Excellent problem-solving and analytical skills.
• Strong communication and collaboration abilities.
• Ability to work independently and as part of a team in a fast-paced environment.

What We Offer:

• Competitive salary and benefits package.
• Opportunity to work on impactful projects that improve healthcare outcomes.
• Collaborative and innovative work environment.
• Professional development and growth opportunities.
• Flexible work arrangements, including hybrid and remote options.

Join us in our mission to transform healthcare through technology! We look forward to hearing from you.

About the Role

Anaplan is looking for a skilled Python Machine Learning Developer to join our AI engineering organization. This is a crucial, hands-on developer role focused on building the robust backend systems that power our machine learning features. You are not just a developer; you are a software engineer who specializes in bringing ML models to life in a production environment. You will be responsible for designing, building, and deploying the APIs, data pipelines, and backend services necessary to integrate sophisticated machine learning capabilities into the Anaplan platform.

Key Responsibilities

• Design, build, and maintain scalable and reliable machine learning services and APIs using Python.
• Develop and productionize ML models, taking them from prototype to scalable, live systems.
• Construct and manage the data pipelines required for model training, validation, and inference.
• Build and interact with databases (both SQL and NoSQL) to store and retrieve data for ML applications.
• Write clean, high-quality, and well-tested code, adhering to software engineering best practices.
• Collaborate with data scientists, AI architects, and other engineers to integrate ML models into our products.
• Optimize applications for speed, scalability, and reliability.
• Contribute to our MLOps infrastructure to streamline the deployment and monitoring of machine learning models.

Required Qualifications

• Expert (6+ years) Python Programming: Strong, hands-on proficiency in Python for software development.
• Backend & API Development: Proven experience building and deploying backend services and RESTful APIs using frameworks like Flask, FastAPI, or Django.
• Database Proficiency: Solid experience with both SQL (e.g., PostgreSQL) and NoSQL (e.g., MongoDB, Redis) databases, including data modeling and query optimization.
• Machine Learning Libraries: Deep, practical knowledge of the core Python ML ecosystem:
• Data manipulation and analysis: Pandas, NumPy.
• Core ML frameworks: scikit-learn.
• Deep learning frameworks: Experience with TensorFlow or PyTorch.
• Strong understanding of software engineering principles, including data structures, algorithms, and design patterns.
• Experience with version control (Git) and CI/CD practices.
• Excellent problem-solving skills and the ability to write efficient, production-ready code.

Preferred Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• Experience with cloud platforms (AWS, Azure, or GCP) and their ML services.
• Familiarity with containerization technologies like Docker and orchestration with Kubernetes.
• Experience with MLOps tools and principles (e.g., MLflow, Kubeflow).
• Knowledge of large-scale data processing frameworks like Spark or Dask.

What Makes This Role Exciting

This role places you at the critical intersection of software engineering and machine learning. You are a builder, responsible for creating the tangible systems that make our AI intelligent. You will tackle complex engineering challenges, from API design to database performance, all within the context of delivering cutting-edge machine learning features. At Anaplan, you will see your code run at scale, directly impacting a product used by leading global enterprises and solving real-world business problems.

About the Role

Anaplan is looking for a skilled Python Machine Learning Developer to join our AI engineering organization. This is a crucial, hands-on developer role focused on building the robust backend systems that power our machine learning features. You are not just a developer; you are a software engineer who specializes in bringing ML models to life in a production environment. You will be responsible for designing, building, and deploying the APIs, data pipelines, and backend services necessary to integrate sophisticated machine learning capabilities into the Anaplan platform.

Key Responsibilities

• Design, build, and maintain scalable and reliable machine learning services and APIs using Python.
• Develop and productionize ML models, taking them from prototype to scalable, live systems.
• Construct and manage the data pipelines required for model training, validation, and inference.
• Build and interact with databases (both SQL and NoSQL) to store and retrieve data for ML applications.
• Write clean, high-quality, and well-tested code, adhering to software engineering best practices.
• Collaborate with data scientists, AI architects, and other engineers to integrate ML models into our products.
• Optimize applications for speed, scalability, and reliability.
• Contribute to our MLOps infrastructure to streamline the deployment and monitoring of machine learning models.

Required Qualifications

• Expert (6+ years) Python Programming: Strong, hands-on proficiency in Python for software development.
• Backend & API Development: Proven experience building and deploying backend services and RESTful APIs using frameworks like Flask, FastAPI, or Django.
• Database Proficiency: Solid experience with both SQL (e.g., PostgreSQL) and NoSQL (e.g., MongoDB, Redis) databases, including data modeling and query optimization.
• Machine Learning Libraries: Deep, practical knowledge of the core Python ML ecosystem:
• Data manipulation and analysis: Pandas, NumPy.
• Core ML frameworks: scikit-learn.
• Deep learning frameworks: Experience with TensorFlow or PyTorch.
• Strong understanding of software engineering principles, including data structures, algorithms, and design patterns.
• Experience with version control (Git) and CI/CD practices.
• Excellent problem-solving skills and the ability to write efficient, production-ready code.

Preferred Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• Experience with cloud platforms (AWS, Azure, or GCP) and their ML services.
• Familiarity with containerization technologies like Docker and orchestration with Kubernetes.
• Experience with MLOps tools and principles (e.g., MLflow, Kubeflow).
• Knowledge of large-scale data processing frameworks like Spark or Dask.

What Makes This Role Exciting

This role places you at the critical intersection of software engineering and machine learning. You are a builder, responsible for creating the tangible systems that make our AI intelligent. You will tackle complex engineering challenges, from API design to database performance, all within the context of delivering cutting-edge machine learning features. At Anaplan, you will see your code run at scale, directly impacting a product used by leading global enterprises and solving real-world business problems.

About the Role

Anaplan is looking for a skilled Python Machine Learning Developer to join our AI engineering organization. This is a crucial, hands-on developer role focused on building the robust backend systems that power our machine learning features. You are not just a developer; you are a software engineer who specializes in bringing ML models to life in a production environment. You will be responsible for designing, building, and deploying the APIs, data pipelines, and backend services necessary to integrate sophisticated machine learning capabilities into the Anaplan platform.

Key Responsibilities

• Design, build, and maintain scalable and reliable machine learning services and APIs using Python.
• Develop and productionize ML models, taking them from prototype to scalable, live systems.
• Construct and manage the data pipelines required for model training, validation, and inference.
• Build and interact with databases (both SQL and NoSQL) to store and retrieve data for ML applications.
• Write clean, high-quality, and well-tested code, adhering to software engineering best practices.
• Collaborate with data scientists, AI architects, and other engineers to integrate ML models into our products.
• Optimize applications for speed, scalability, and reliability.
• Contribute to our MLOps infrastructure to streamline the deployment and monitoring of machine learning models.

Required Qualifications

• Expert (10+ years) Python Programming: Strong, hands-on proficiency in Python for software development.
• Backend & API Development: Proven experience building and deploying backend services and RESTful APIs using frameworks like Flask, FastAPI, or Django.
• Database Proficiency: Solid experience with both SQL (e.g., PostgreSQL) and NoSQL (e.g., MongoDB, Redis) databases, including data modeling and query optimization.
• Machine Learning Libraries: Deep, practical knowledge of the core Python ML ecosystem:
• Data manipulation and analysis: Pandas, NumPy.
• Core ML frameworks: scikit-learn.
• Deep learning frameworks: Experience with TensorFlow or PyTorch.
• Strong understanding of software engineering principles, including data structures, algorithms, and design patterns.
• Experience with version control (Git) and CI/CD practices.
• Excellent problem-solving skills and the ability to write efficient, production-ready code.

Preferred Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• Experience with cloud platforms (AWS, Azure, or GCP) and their ML services.
• Familiarity with containerization technologies like Docker and orchestration with Kubernetes.
• Experience with MLOps tools and principles (e.g., MLflow, Kubeflow).
• Knowledge of large-scale data processing frameworks like Spark or Dask.

What Makes This Role Exciting

This role places you at the critical intersection of software engineering and machine learning. You are a builder, responsible for creating the tangible systems that make our AI intelligent. You will tackle complex engineering challenges, from API design to database performance, all within the context of delivering cutting-edge machine learning features. At Anaplan, you will see your code run at scale, directly impacting a product used by leading global enterprises and solving real-world business problems.

About the role

Entrupy is seeking a Senior Full-Stack Engineer who is excited about automating manual processes and can lead complex projects. As a Full-Stack Engineer, you will be responsible for automating the processes and workflows that can have a significant business impact by increasing the authentication team's efficiency and accuracy. You will need to have a strong understanding of both back-end and front-end development, as well as a willingness to learn new technologies quickly. In addition, we are looking for someone who can work effectively in a team that is spread across different time zones.

Some areas you will work on would include:

• • Creating image search systems - infrastructure for similarity searching tens of millions of images + metadata.
  • Creating tools to encode + expose knowledge for our authentication team (databases/CRMs)
  • Monitoring systems & other analytics work to help flag areas where our knowledge is lacking for our expert teams
  • Internal dashboards and customer support tools
  • Policy tracking and change management systems
  • Custom search systems and data investigation tools
  • Interfaces to explain machine learning and expert system output
  • Account management systems
  • Data annotation tools
  • Internal training platforms

Reports to: Engineering Manager
Location: Bangalore, India (Hybrid)

What You'll Do:

• Develop systems that follow modern design principles and are implemented using secure, flexible & scalable methodologies, promote a streamlined, collaborative environment & use efficient workflows while keeping focus on a positive user experience
• You’ll contribute reliable code across all phases of the development lifecycle, collaborating on product specifications and operational feasibility
• You’ll come up with ideas for projects to clean up technical debt and make it easier to develop in our codebases
• You’ll champion a balance between following good coding practices and delivering value for our customers quickly
• You’ll produce well-tested, extensible code that stands up to existing and future load requirements
• You’ll share your expertise in a thoughtful, no-ego way with all members of the team, coaching team members when needed
• Sheppard your contributions through peer review, testing, deployment, and finally monitoring in production

Who you are:

• Generalist with experience in web apps, backend services, and databases.
• 6+ years of experience in full-stack web development.
• Solid working knowledge of Python, and experience using it in backend services using Flask/Django/Fast API or similar web framework. 
• Experience with building front-end websites or tools using modern SPA frameworks like Vue/React.
• Experience with databases (Postgres, NoSQL, etc.)
• Experience working as the lead on various technical projects.
• Prior experience working in a startup-like environment

What we offer

• Market competitive compensation structure
• Hybrid with Flexible work from anywhere for 4 weeks per year
• Generous time away including company holidays, paid time off, sick time, parental leave, and more!
• Rich medical benefits and insurance coverage
• Opportunity to be part of category defining start up.

Culturally we operate with intelligence, respect, and curiosity, relentlessly pursuing ideas to improve our offering and execute our mission.

About IRL (Instawork Robotics Labs)

Researchers at UC Berkeley have identified a “100,000-year data gap” - the gulf between what trained AI language models and what physical robots actually have to learn from. Closing that gap is the defining infrastructure challenge of the physical AI era. IRL is Instawork’s answer to it. We deploy skilled workers into real commercial and residential environments - kitchens, warehouses, hotel floors, homes - to capture the high-fidelity task data that the world’s leading Robotics labs use to train their foundation models. Read more here.

The Role
We are looking for a highly versatile Senior/Staff Engineer with rock-solid fundamentals who can confidently tackle any problem across the tech stack. As a key engineering leader in our Bengaluru hub, you will own the technical execution for massive-scale physical AI training data, building out core systems like Instawork Lens (our global data collection platform) and Instawork Prism (our dedicated QA platform).

What You’ll Do

• Full-Stack Versatility: Seamlessly transition between frontend, backend, and infrastructure. You will own features end-to-end, solving whatever technical challenge stands in the way of shipping.
• Platform Ownership: Lead the technical development of Instawork Lens and Instawork Radiant, ensuring high-throughput data enrichment, labeling, and continuous quality assurance loops.
• Infrastructure & Video Pipelines: Architect and scale our cloud environments. You will manage complex AWS infrastructure and ECS services for video transcoding, ensuring deep observability with precise telemetry across CPU, memory, network, and disk IOPS.
• Architect for Scale: Design and optimize data pipelines capable of securely processing petabytes of global video and telemetry data without bottlenecking.
• AI-Leveraged Engineering: Use agentic models as a force multiplier to ship faster, relying on your deep engineering fundamentals to guide the AI, spot bad patterns, and make the final architectural decisions.
• Cross-Functional Mentorship: Act as a technical pillar for the team. Guide mid- and senior-level engineers through code reviews, pair programming, and architectural discussions to raise the bar for engineering excellence.

Who You Are

• Master of Fundamentals: You have 8+ years of software engineering experience. You deeply understand distributed systems, database internals, and network constraints, and you write clean, maintainable code (coding ~80% of the time).
• True Generalist: Extensive experience with full-stack development (Python, Django, React, or similar modern frameworks) and a willingness to learn whatever language or tool is needed for the job.
• Cloud & Infrastructure Chops: Hands-on experience designing scalable backend systems and managing cloud infrastructure (AWS, ECS/Docker, CloudWatch), particularly for data-heavy or high-throughput applications.
• Startup Mindset: You thrive in ambiguous, fast-paced, 0-1 environments. You act like an owner, practice high-velocity decision-making, and know how to ship product quickly without sacrificing quality.
• Mission-Driven: You are genuinely excited about the robotics revolution and want to build the human advantage that powers it.

About IRL (Instawork Robotics Labs)

Researchers at UC Berkeley have identified a “100,000-year data gap” - the gulf between what trained AI language models and what physical robots actually have to learn from. Closing that gap is the defining infrastructure challenge of the physical AI era. IRL is Instawork’s answer to it. We deploy skilled workers into real commercial and residential environments - kitchens, warehouses, hotel floors, homes - to capture the high-fidelity task data that the world’s leading Robotics labs use to train their foundation models. Read more here.

The Role
We are looking for a highly versatile Senior Engineer with rock-solid fundamentals who can confidently tackle any problem across the tech stack. As a key engineering leader in our Bengaluru hub, you will own the technical execution for massive-scale physical AI training data, building out core systems like Instawork Lens (our global data collection platform) and Instawork Prism (our dedicated QA platform).
You are a generalist at heart. You are just as comfortable designing a clean user experience in React as you are diving deep into AWS to tune heavy video transcoding pipelines. While we leverage agentic models heavily to accelerate our coding output, we rely on your deep engineering intuition, architectural expertise, and flawless fundamentals to ensure our systems are robust, scalable, and built the right way.

What You’ll Do

• Full-Stack Versatility: Seamlessly transition between frontend, backend, and infrastructure. You will own features end-to-end, solving whatever technical challenge stands in the way of shipping.
• Platform Ownership: Lead the technical development of Instawork Lens and Instawork Radiant, ensuring high-throughput data enrichment, labeling, and continuous quality assurance loops.
• Infrastructure & Video Pipelines: Architect and scale our cloud environments. You will manage complex AWS infrastructure and ECS services for video transcoding, ensuring deep observability with precise telemetry across CPU, memory, network, and disk IOPS.
• Architect for Scale: Design and optimize data pipelines capable of securely processing petabytes of global video and telemetry data without bottlenecking.
• AI-Leveraged Engineering: Use agentic models as a force multiplier to ship faster, relying on your deep engineering fundamentals to guide the AI, spot bad patterns, and make the final architectural decisions.
• Cross-Functional Mentorship: Act as a technical pillar for the team. Guide mid- and senior-level engineers through code reviews, pair programming, and architectural discussions to raise the bar for engineering excellence.

Who You Are

• Master of Fundamentals: You have 6+ years of software engineering experience. You deeply understand distributed systems, database internals, and network constraints, and you write clean, maintainable code (coding ~80% of the time).
• True Generalist: Extensive experience with full-stack development (Python, Django, React, or similar modern frameworks) and a willingness to learn whatever language or tool is needed for the job.
• Cloud & Infrastructure Chops: Hands-on experience designing scalable backend systems and managing cloud infrastructure (AWS, ECS/Docker, CloudWatch), particularly for data-heavy or high-throughput applications.
• Startup Mindset: You thrive in ambiguous, fast-paced, 0-1 environments. You act like an owner, practice high-velocity decision-making, and know how to ship product quickly without sacrificing quality.
• Mission-Driven: You are genuinely excited about the robotics revolution and want to build the human advantage that powers it.

Role: Senior Software Engineer

Job Summary:

Utilize advanced Python technologies and frameworks to design, develop, and maintain scalable backend systems and microservices for products in marketing analytics and real-world evidence analytics. As a senior contributor, you will provide technical leadership, lead backend development efforts, mentor team members, and drive technical excellence. Collaboration will occur within cross-functional teams, including UI designers, data engineers, frontend developers, client-facing teams, product management, and project management, while adhering to agile methodologies and scrum practices to deliver robust, integrated analytics solutions.

Responsibilities:

•  Architect, develop, and optimize scalable backend components, microservices, and RESTful APIs using Python frameworks such as Django and FastAPI.
• Implement real-time features and asynchronous processing with WebSockets and Redis for enhanced application performance.
• Lead the backend development team by delegating tasks, coordinating efforts, and ensuring timely delivery of high-quality features.
• Provide technical leadership through mentoring junior developers, conducting thorough code reviews, and enforcing best practices in software design and implementation.
• Lead collaboration with data engineers, frontend developers, and stakeholders to gather requirements, define technical specifications, and ensure seamless integration across layers.
• Perform advanced troubleshooting and debugging of complex issues in production and development environments, including performance bottlenecks and system failures.
• Contribute to architectural decisions, system design, and performance optimization in containerized environments using Docker and Kubernetes.
• Participate actively in the full software development lifecycle, encompassing planning, development, testing, deployment, and maintenance within an agile framework.
• Maintain effective communication in a globally distributed team, utilizing tools such as Git for version control and JIRA for project tracking.

Qualifications:

• Minimum 7+ years of professional experience in Python backend development, with expertise in frameworks such as Django and FastAPI.
• Proven track record in designing and implementing RESTful APIs, microservices architectures, and real-time applications using WebSockets.
• Strong proficiency with caching solutions like Redis and relational databases such as PostgreSQL, including query optimization and schema design.
• Deep understanding of object-oriented programming, design patterns, and software architecture principles.
• Proficiency with ORM libraries (e.g., SQLAlchemy or Django ORM).
• Advanced experience in Linux environments, containerization with Docker, and orchestration using Kubernetes.
• Proficiency in code versioning with Git, including advanced workflows and branching strategies.
• Hands-on experience with agile methodologies, scrum processes, and tools such as JIRA.
• Demonstrated expertise in debugging, performance tuning, security best practices, and complex problem-solving.
• Excellent communication and interpersonal skills to effectively collaborate with technical and nontechnical stakeholders in a distributed team environment.

What we’re looking for  

We’re looking for a Software Engineer III who is passionate about building reliable, scalable backend systems and enjoys working across the stack when needed. You are a hands‑on engineer who thrives on solving real‑world problems, writing clean and maintainable code, and collaborating closely with teammates to deliver high‑quality features end‑to‑end. 

You bring strong engineering fundamentals, a growth mindset, and the ability to work independently on well‑scoped projects — owning medium‑sized features from design through deployment in alignment with our engineering best practices. You’re comfortable contributing to technical discussions, making thoughtful trade‑offs, and following established architectural patterns as you deepen your understanding of our systems. 

This role is fully remote, based in India and offers the opportunity to meaningfully influence backend architecture, shape engineering best practices, and work with a mission-driven, high-performing team.  

What you’ll own  

As a Software Engineer III, you will have clear ownership over features, with opportunities to contribute across the stack:  

• Own and deliver small to medium-sized backend features end-to-end: From technical discovery and design through implementation, testing, deployment and iteration 

• Take technical ownership of one or more non‑critical backend services or components: Ensuring they remain reliable, maintainable, well‑documented, and easy to extend. 

• Write clean, modular, testable code: Primarily in Ruby, Ruby on Rails, and Python, while contributing to frontend code when needed to support full‑stack feature delivery. 

• Contribute to the design and evolution of our APIs: Including GraphQL and REST endpoints that power frontend and partner‑facing applications, following established architectural patterns and best practices. 

• Ensure strong observability and operational health of owned services: Through logging, monitoring, alerting, and contributing to root‑cause analysis and follow‑through improvements. 

• Actively participate in technical discussions: Bringing thoughtful perspectives that balance simplicity, long‑term maintainability, and performance as you deepen your understanding of Perch’s systems. 

• Support team productivity through high‑quality code reviews and collaboration: Sharing context, helping unblock others, and contributing to a strong engineering culture. 

What you’ll do  

• Design and build scalable, resilient backend systems using Ruby on Rails, Python and PostgreSQL  

• Contribute to implementation of complex features and integrations, including external systems such as Salesforce  

• Take technical design decisions independently for your features 

• Own and evolve GraphQL services that power frontend and partner-facing applications  

• Improve system reliability through testing, monitoring, alerting, and operational best practices  

• Ship production-ready code frequently using a modern CI/CD pipeline  

• Review code and designs with a strong focus on maintainability, performance, and long-term impact  

What will help you succeed  

Experience & leadership  

• 4+ years of experience building and operating high-availability backend systems  

• Demonstrated experience delivering backend features and owning systems 

• Strong fundamentals in system design, API design, and data modelling  

• Ability to clearly communicate technical decisions and trade-offs to both technical and non-technical stakeholders 

• Actively represent engineering team in key discussions with US stakeholders 

• Proven experience mentoring junior engineers and raising the technical bar of a team  

• Comfortable working in ambiguous problem spaces and iterating toward robust solutions  

Backend & infrastructure  

• Strong experience with Python or Ruby, including proficiency in at least one web framework: 

• Ruby on Rails 

• FastAPI, Django or Flask 

• Working knowledge of ReactJS, with the ability to contribute to frontend components to support full‑stack delivery 

• Advanced SQL skills and experience with PostgreSQL or similar relational databases  

• Hands-on experience with AWS services such as S3, SQS, SES, EventBridge, or similar cloud-native services.  

• Containerization using Docker  

• Exposure to distributed systems or platform engineering  

• Familiarity with background jobs, async processing, and event-driven workflows  

Bonus points for  

• Experience integrating with Salesforce or other enterprise platforms  

• Experience designing and owning  GraphQL APIs (Apollo or similar)  

• Strong opinions (loosely held) on backend architecture, scalability, and system design  

• Exposure to AI-assisted engineering—such as using modern AI tools for coding, debugging, testing, documentation, or exploring LLM-based workflows in backend systems  

• Familiarity with observability and distributed tracing tools such as OpenTelemetry, Jaeger, Prometheus, or similar  

• Experience with container orchestration and deployment using Kubernetes and Helm charts  

• Passion for sustainability, clean energy, and building mission-driven products  

What success looks like in this role  

• Backend systems scale reliably as usage, data volume, and complexity grow  

• Engineers move faster due to clear APIs, architecture, and standards  

• Production issues are identified early and resolved with lasting fixes  

• Technical debt is addressed proactively rather than reactively  

• The backend platform enables product teams instead of limiting them  

Benefits:  Apart from Fixed Base Salary potential candidates are eligible for following benefits  

• Competitive compensation based on market standards.  
• Flexible Leave Policy  

• Office is in the heart of the city in case you need to step in for any purpose.  

• Medical Insurance (1+5 Family Members)  

• We provide comprehensive coverage including accident policy and life Insurance.   

• Annual performance cycle  

• Quarterly team engagement activities and rewards & recognitions  

• L&D programs to foster professional growth  

• A supportive engineering culture that values diversity, empathy, teamwork, trust, and efficiency   

Eliminating carbon footprints, eliminating carbon copies. Here at Perch, we cultivate diversity, celebrate individuality, and believe unique perspectives are key to our collective success in creating a clean energy future. Perch is committed to equal employment opportunities regardless of race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, protected veteran status, or any status protected by applicable federal, state, or local law. While we are currently unable to consider candidates who will require visa sponsorship, we welcome applications from all qualified candidates eligible to work in India.  
  
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request

Software Engineer III 
  
  

Who we are  

Perch Energy is a mission-driven company that focuses on expanding access to clean and affordable energy through community solar. Community solar breaks down the traditional barriers preventing most people from participating in the renewable energy economy by making it accessible, affordable, and more equitable for all. We work in several states across the US to bring community solar to communities and individuals who can most benefit from a more inclusive energy system. By managing the customer experience for solar farm owners, Perch is able to bring electricity bill savings to the masses, from renters and homeowners to businesses, institutions, municipalities and more by connecting them to community solar projects in their area. Perch isn't just a for-profit company, we're a for-purpose company—accelerating the shift to renewables nationwide. Everyone deserves to benefit from clean energy. Everyone has a place on this Perch!  

What we’re looking for  

We’re looking for a Software Engineer III who is passionate about building reliable, scalable backend systems and enjoys working across the stack when needed. You are a hands‑on engineer who thrives on solving real‑world problems, writing clean and maintainable code, and collaborating closely with teammates to deliver high‑quality features end‑to‑end. 

You bring strong engineering fundamentals, a growth mindset, and the ability to work independently on well‑scoped projects — owning medium‑sized features from design through deployment in alignment with our engineering best practices. You’re comfortable contributing to technical discussions, making thoughtful trade‑offs, and following established architectural patterns as you deepen your understanding of our systems. 

This role is fully remote, based in India and offers the opportunity to meaningfully influence backend architecture, shape engineering best practices, and work with a mission-driven, high-performing team.  

What you’ll own  

As a Software Engineer III, you will have clear ownership over features, with opportunities to contribute across the stack:  

• Own and deliver small to medium-sized backend features end-to-end: From technical discovery and design through implementation, testing, deployment and iteration 

• Take technical ownership of one or more non‑critical backend services or components: Ensuring they remain reliable, maintainable, well‑documented, and easy to extend. 

• Write clean, modular, testable code: Primarily in Ruby, Ruby on Rails, and Python, while contributing to frontend code when needed to support full‑stack feature delivery. 

• Contribute to the design and evolution of our APIs: Including GraphQL and REST endpoints that power frontend and partner‑facing applications, following established architectural patterns and best practices. 

• Ensure strong observability and operational health of owned services: Through logging, monitoring, alerting, and contributing to root‑cause analysis and follow‑through improvements. 

• Actively participate in technical discussions: Bringing thoughtful perspectives that balance simplicity, long‑term maintainability, and performance as you deepen your understanding of Perch’s systems. 

• Support team productivity through high‑quality code reviews and collaboration: Sharing context, helping unblock others, and contributing to a strong engineering culture. 

What you’ll do  

• Design and build scalable, resilient backend systems using Ruby on Rails, Python and PostgreSQL  

• Contribute to implementation of complex features and integrations, including external systems such as Salesforce  

• Take technical design decisions independently for your features 

• Own and evolve GraphQL services that power frontend and partner-facing applications  

• Improve system reliability through testing, monitoring, alerting, and operational best practices  

• Ship production-ready code frequently using a modern CI/CD pipeline  

• Review code and designs with a strong focus on maintainability, performance, and long-term impact  

What will help you succeed  

Experience & leadership  

• 4+ years of experience building and operating high-availability backend systems  

• Demonstrated experience delivering backend features and owning systems 

• Strong fundamentals in system design, API design, and data modelling  

• Ability to clearly communicate technical decisions and trade-offs to both technical and non-technical stakeholders 

• Actively represent engineering team in key discussions with US stakeholders 

• Proven experience mentoring junior engineers and raising the technical bar of a team  

• Comfortable working in ambiguous problem spaces and iterating toward robust solutions  

Backend & infrastructure  

• Strong experience with Python or Ruby, including proficiency in at least one web framework: 

• Ruby on Rails 

• FastAPI, Django or Flask 

• Working knowledge of ReactJS, with the ability to contribute to frontend components to support full‑stack delivery 

• Advanced SQL skills and experience with PostgreSQL or similar relational databases  

• Hands-on experience with AWS services such as S3, SQS, SES, EventBridge, or similar cloud-native services.  

• Containerization using Docker  

• Exposure to distributed systems or platform engineering  

• Familiarity with background jobs, async processing, and event-driven workflows  

Bonus points for  

• Experience integrating with Salesforce or other enterprise platforms  

• Experience designing and owning  GraphQL APIs (Apollo or similar)  

• Strong opinions (loosely held) on backend architecture, scalability, and system design  

• Exposure to AI-assisted engineering—such as using modern AI tools for coding, debugging, testing, documentation, or exploring LLM-based workflows in backend systems  

• Familiarity with observability and distributed tracing tools such as OpenTelemetry, Jaeger, Prometheus, or similar  

• Experience with container orchestration and deployment using Kubernetes and Helm charts  

• Passion for sustainability, clean energy, and building mission-driven products  

What success looks like in this role  

• Backend systems scale reliably as usage, data volume, and complexity grow  

• Engineers move faster due to clear APIs, architecture, and standards  

• Production issues are identified early and resolved with lasting fixes  

• Technical debt is addressed proactively rather than reactively  

• The backend platform enables product teams instead of limiting them  

Benefits:   

• Competitive compensation based on market standards.  

Apart from Fixed Base Salary potential candidates are eligible for following benefits  

• Flexible Leave Policy  

• Office is in the heart of the city in case you need to step in for any purpose.  

• Medical Insurance (1+5 Family Members)  

• We provide comprehensive coverage including accident policy and life Insurance.   

• Annual performance cycle  

• Quarterly team engagement activities and rewards & recognitions  

• L&D programs to foster professional growth  

• A supportive engineering culture that values diversity, empathy, teamwork, trust, and efficiency   

Eliminating carbon footprints, eliminating carbon copies. Here at Perch, we cultivate diversity, celebrate individuality, and believe unique perspectives are key to our collective success in creating a clean energy future. Perch is committed to equal employment opportunities regardless of race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, protected veteran status, or any status protected by applicable federal, state, or local law. While we are currently unable to consider candidates who will require visa sponsorship, we welcome applications from all qualified candidates eligible to work in India.  
  
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request 

Job Description

About the Role

Abnormal Security is looking for a backend software engineer to work on customer-facing products that enable SOC teams to search across cloud email tenants, investigate threats, and perform remediation at scale. You'll work on systems that directly power how security teams find and act on malicious messages inside the Abnormal platform. We use AI-augmented development practices across our engineering org, and expect engineers to leverage modern AI tools to build faster and ship high-quality software with more leverage. The ideal candidate has backend and distributed systems experience, takes ownership of what they ship, and wants to work on products where reliability and speed directly affect customer security outcomes.

What You Will Do

• Design and build backend services that power search, remediation, and quarantine workflows across multi-tenant enterprise email environments
• Work with the Tech Lead, Engineering Manager, and Product Manager to scope, develop, and deliver features end-to-end
• Own the reliability of the systems you build, including unit tests, integration testing, and production observability
• Participate in on-call rotations and provide technical support to troubleshoot and resolve customer issues
• Contribute to API design for customer-facing REST endpoints used by security operations teams
• Communicate effectively in an async-first environment, provide updates, surface blockers, and propose solutions without prompting
• Leverage AI development tools to enhance productivity, optimize workflows, and deliver reliable production outcomes
• Mentor junior engineers and raise the engineering bar through code reviews and knowledge sharing

Must Haves

• BS degree in Computer Science, Applied Sciences, Information Systems, or a related engineering field
• 3+ years of industry experience in backend development and distributed systems
• Experience building features and components from scratch and operating them in production, balancing feature work with operational reliability
• Experience working with distributed teams, proficient in asynchronous and written communication
• Experience improving service reliability, resiliency, and observability in production systems
• Strong fundamentals in computer science, data structures, and system design

Nice to Have

• Experience with our stack: Python, Go, AWS, Kubernetes, Django
• Experience with search systems, remediation workflows, or operational tooling used by SOC teams
• Experience with SIEM/SOAR integrations or platform APIs
• Exposure to email security, email authentication standards (DMARC, DKIM), or cybersecurity products

About the Role

Abnormal Security is looking for an experienced and driven Platform & Infra software engineer to join the PI team. Join us and help build the platforms that power Abnormal's growth

• Observability Platform - Own and evolve the monitoring, metrics, and alerting infrastructure that every engineering team at Abnormal depends on. You'll work across the Prometheus, Chronosphere, and Grafana stack to ensure engineers can see what their systems are doing in real time — building dashboards, managing metric pipelines at scale, operating the PagerDuty alerting pipeline, and driving cost-efficient observability across all production environments (US, EU, and GovCloud).

  Your Impact

• Own the observability stack (Prometheus, Chronosphere, Grafana, PagerDuty) that every team relies on to detect, diagnose, and resolve production issues — when you make it better, every engineer at Abnormal gets faster.
• Design platforms and developer tooling that remove friction — reducing deployment times, simplifying pipeline authoring, and letting product teams focus on building rather than firefighting.
• Drive SLAs and SLOs for critical shared infrastructure ensuring the systems behind our products are resilient and cost-efficient.
•  Your architectural decisions on alerting pipelines and cross-environment deployments will define what products we can build and how quickly we deliver them to customers.

What you will do 

• Work with the Tech Lead, Engineering Manager, and Product Manager to design, develop, and deliver key platform features — from technical design docs through production rollout
• Own features end-to-end: scoping, implementation, testing, deployment, and post-launch monitoring across multiple environments (US, EU, GovCloud)
• Take ownership of 1-3 key services within Observability (Prometheus, Chronosphere, Grafana, PagerDuty pipeline) or Data Infra (Airflow, Spark) and be accountable for their reliability, performance, and evolution
• Participate in on-call rotations — triage, diagnose, and resolve production issues independently, building deep operational knowledge of the systems you own
• Improve system resilience by converting runbooks into automated solutions, refining SLAs/SLOs, and proactively identifying performance bottlenecks and failure modes
• Assume ownership of the reliability of everything you build, including comprehensive unit tests, integration testing, and observability instrumentation
• Build platforms, tooling, and APIs that make it easier for other engineering teams to ship — whether that's faster pipeline deployments, better dashboards, or simpler alerting configuration
• Partner with internal customers (product and engineering teams) to understand their needs and translate them into scalable platform capabilities
• Communicate effectively in an async-first, distributed environment — proactively providing updates, discussing challenges, and proposing solutions without prompting
• Mentor junior engineers on the team, helping them ramp up on service operations and development practices
• Raise the bar of engineering excellence through code reviews, knowledge sharing, design discussions, and contributing to team best practices

Must Haves 

• Backend Engineering & Distributed Systems (4+ years)
• 4+ years of hands-on backend engineering experience designing, building, and operating production-grade distributed systems
• Strong proficiency in Python — the primary language for Airflow DAGs, platform services, and automation tooling
• Working proficiency in Golang — used for high-performance infrastructure components, metric pipelines, and platform services
• Experience building systems that process data at scale — whether metric ingestion pipelines, stream/batch processing, or high-throughput API services
• Demonstrated experience owning a service or platform end-to-end — from technical design through production deployment, monitoring, and iteration
• Comfortable balancing feature development with operational responsibilities: you've shipped features and kept them running reliably at scale
• Experience writing technical design documents that articulate trade-offs, propose solutions, and get buy-in from peers and tech leads
• Track record of breaking down ambiguous problems into concrete, deliverable milestones
• Experience with fault tolerance patterns — retries, circuit breakers, graceful degradation, backpressure — and knowing when to apply each
• Proven incident response capability: you've been on-call, diagnosed production issues under pressure, and driven them to resolution
• Strong testing discipline — unit tests, integration tests, and an understanding of what to test and how to keep test suites maintainable
• Ability to design systems with a forward-looking perspective — thinking about how your architecture handles 10x growth, multi-region deployment, and evolving requirements
• Ability to contribute to and influence cross-team technical direction — you're not just implementing specs, you're shaping the solution
• Async-first communication excellence — strong written communication skills for design docs, Slack discussions, PR reviews, and status updates across time zones
• Proactive communicator — you surface blockers early, share con
• Solid understanding of monitoring, alerting, and observability principles — you've instrumented services, set up dashboards, defined SLIs/SLOs, or triaged production incidents using metrics and logs

Nice to Have 

• Hands-on experience with Prometheus — PromQL queries, recording rules, alerting rules, relabeling configs, and understanding metric cardinality challenges at scale
• Experience with Grafana — building dashboards, templating, managing datasources, and creating meaningful visualizations for operational and business metrics
• Familiarity with commercial observability platforms like Chronosphere, Datadog, New Relic, or Honeycomb — understanding trade-offs between self-hosted and managed solutions
• Experience designing or operating an alerting pipeline — PagerDuty, OpsGenie, or similar — including alert routing, escalation policies, and reducing noise/alert fatigue

Cloud Infrastructure & Kubernetes

• Familiarity with AWS services — EC2, ECS, EKS, S3, RDS, IAM, CloudWatch, Lambda, SQS/SNS — and understanding how to architect cost-effective, secure cloud infrastructure
• Experience with Kubernetes (K8s) — deploying and operating workloads, understanding pods/services/deployments, Helm charts, and debugging cluster-level issues
• Exposure to Infrastructure-as-Code tools — Terraform, Pulumi, or CloudFormation — and understanding the value of declarative infrastructure management
• Experience with CI/CD pipelines — GitHub Actions, Jenkins, or similar — and optimizing build/deploy times for platform services

Programming & Framework

• Experience with Django or similar Python web frameworks — building APIs, managing migrations, and understanding ORM performance characteristics
• Familiarity with gRPC or protobuf for inter-service communication in a microservices architecture

Technical Leadership & Platform Thinking

• Experience leading a small team (2-4 engineers) to build a feature or component from scratch — scoping, task breakdown, code reviews, and delivery management
• Experience building internal developer platforms or tooling — CLIs, SDKs, self-service portals, or automation that improved developer productivity
• Track record of reducing operational toil — automating runbooks
  
  
  

Job Description

About the Role

Abnormal Security is looking for an experienced and driven backend software engineer to join the Product Features team. Join us and help build the platforms that power Abnormal's growth

• Integrations Platform - The backbone of customer trust. Engineer high-volume infrastructure that connects our cybersecurity platform to the tools enterprises rely on. Your work directly influences why customers choose Abnormal.
• Configuration Platform - The engine of developer velocity. Build intelligent systems that transform how 100+ engineers ship products. 

  Your Impact 

• Scale at the core: Design distributed systems handling massive volumes across cloud infrastructure
• Multiply team productivity: Create platforms that let engineers ship faster and build better
• Shape product decisions: Own infrastructure that defines what products we can build and how quickly we deliver them
• Drive business growth: Your platforms directly enable new customer wins and product launches

Join us to create an infrastructure that scales with our ambitious growth and directly impacts how we deliver exceptional products to our customers.

What you will do 

• Work with the Tech Lead, Engineering Manager and Product Manager to develop and deliver key features for the product
• Assist in guiding and mentoring junior members of the team
• Assume ownership of the reliability of the features you develop, including comprehensive unit tests and rigorous integration testing
• Participate in on-call rotations and provide technical support to effectively troubleshoot and resolve customer issues
• Communicate effectively with the team in an async manner. Display a strong sense of initiative and ownership in providing updates, discussing challenges and proposing solutions without prompting
• Raise the bar of excellence in engineering, actively contributing to knowledge sharing within the team and participating in professional development activities

Must Haves 

• 4+ years backend engineering with distributed systems - designing, building, and operating production applications in Python and Golang
• Proven platform ownership - end-to-end system design and delivery, balancing feature development with operational responsibilities at scale
• Low-latency, high-throughput expertise - building resilient, scalable systems with SQL/NoSQL databases and strong operational excellence (monitoring, fault tolerance, incident response)
• Architectural thinking - write technical design docs, make practical trade-offs, and influence cross-team technical direction with a futuristic view of system growth
• Growth-oriented mindset - demonstrated trajectory of increasing impact, responsibility, and ownership over time
• Asynchronous collaboration excellence - strong written communication and proven ability to work autonomously with distributed teams and remote stakeholders
• Quality-driven execution - detail-oriented approach to code quality, testing, and performance with a focus on sustainable, maintainable systems

Nice to Have 

• Experience with our stack: Python, Go, AWS, K8s, Django, Spark, Prometheus
• 2+ years of experience programming in Golang
• Familiarity with AWS services and deployment practices.
• Experience leading a small team to build a feature or component from scratch

Why You’ll Love It Here

• You’ll solve hard, meaningful problems at the intersection of AI, security, and large-scale distributed systems.
• You’ll work with smart, kind, and ambitious teammates who care deeply about craftsmanship, learning, and helping each other grow.
• You’ll get real ownership and autonomy over important parts of our systems and roadmap, with clear opportunities to grow toward Senior and Staff roles over time.
• You’ll be part of an AI-native R&D organization, with strong investment in tools, workflows, and training to help engineers use AI to move faster while raising the quality bar.

#LI-JP2

Job Description

About the Role

Abnormal Security is looking for a backend software engineer to work on customer-facing products that enable SOC teams to search across cloud email tenants, investigate threats, and perform remediation at scale. You'll work on systems that directly power how security teams find and act on malicious messages inside the Abnormal platform. We use AI-augmented development practices across our engineering org, and expect engineers to leverage modern AI tools to build faster and ship high-quality software with more leverage. The ideal candidate has backend and distributed systems experience, takes ownership of what they ship, and wants to work on products where reliability and speed directly affect customer security outcomes.

What You Will Do

• Design and build backend services that power search, remediation, and quarantine workflows across multi-tenant enterprise email environments
• Work with the Tech Lead, Engineering Manager, and Product Manager to scope, develop, and deliver features end-to-end
• Own the reliability of the systems you build, including unit tests, integration testing, and production observability
• Participate in on-call rotations and provide technical support to troubleshoot and resolve customer issues
• Contribute to API design for customer-facing REST endpoints used by security operations teams
• Communicate effectively in an async-first environment, provide updates, surface blockers, and propose solutions without prompting
• Leverage AI development tools to enhance productivity, optimize workflows, and deliver reliable production outcomes
• Mentor junior engineers and raise the engineering bar through code reviews and knowledge sharing

Must Haves

• BS degree in Computer Science, Applied Sciences, Information Systems, or a related engineering field
• 3+ years of industry experience in backend development and distributed systems
• Experience building features and components from scratch and operating them in production, balancing feature work with operational reliability
• Experience working with distributed teams, proficient in asynchronous and written communication
• Experience improving service reliability, resiliency, and observability in production systems
• Strong fundamentals in computer science, data structures, and system design

Nice to Have

• Experience with our stack: Python, Go, AWS, Kubernetes, Django
• Experience with search systems, remediation workflows, or operational tooling used by SOC teams
• Experience with SIEM/SOAR integrations or platform APIs
• Exposure to email security, email authentication standards (DMARC, DKIM), or cybersecurity products

#LI-Hybrid

#LI-KP1

Job Title: AI Full stack developer

 About Us

“Capco, a Wipro company, is a global technology and management consulting firm. Awarded with Consultancy of the year in the  British Bank Award and has been ranked Top 100 Best Companies for Women in India 2022 by Avtar & Seramount. With our presence across 32 cities across globe, we support 100+ clients across banking, financial and Energy sectors. We are recognized for our deep transformation execution and delivery. 

WHY JOIN CAPCO? 

You will work on engaging projects with the largest international and local banks, insurance companies, payment service providers and other key players in the industry. The projects that will transform the financial services industry.

MAKE AN IMPACT

Innovative thinking, delivery excellence and thought leadership to help our clients transform their business. Together with our clients and industry partners, we deliver disruptive work that is changing energy and financial services.

#BEYOURSELFATWORK

Capco has a tolerant, open culture that values diversity, inclusivity, and creativity.

CAREER ADVANCEMENT

With no forced hierarchy at Capco, everyone has the opportunity to grow as we grow, taking their career into their own hands.

DIVERSITY & INCLUSION

We believe that diversity of people and perspective gives us a competitive advantage.

Job Description:

About AppOmni

AppOmni prevents SaaS data breaches by delivering end-to-end SaaS security. Our platform gives security teams clear visibility into posture, access, third-party connections, AI-related activity, and with built-in discovery to identify unsanctioned SaaS and Shadow AI tools. Backed by continuous monitoring and real-time threat detection, AppOmni helps enterprises identify and resolve risks early, keeping their SaaS applications secure. Recognized as a Frost Radar™ 2025 Leader and Great Place To Work®, AppOmni continues to set the standard for innovation and customer value in SaaS security. The largest and fastest-growing global enterprises across industries trust AppOmni to secure their SaaS applications.

About the Role

As the Senior Software Engineer for the Core Platform, you will own critical, cross-cutting platform services that enable every AppOmni product and team to move faster and safer. You will lead by designing, building, operating, and continuously improving systems that must be reliable, secure, and extensible for years.

This role blends deep technical execution, architectural leadership, and clear communication. You will be a force multiplier for other teams and a trusted technical voice for leadership.

What You’ll Do

• Take end-to-end ownership of core modules that power AppOmni’s platform — from design to production to long-term maintenance
• Design, implement, and evolve highly reliable and secure backend systems using Django, Python, Docker, and GCP
• Collaborate closely with multiple engineering teams to understand platform needs and enable them through scalable solutions
• Proactively identify architectural, reliability, and scalability risks — and act decisively to mitigate them
• Communicate clearly and confidently with engineering leadership, product, and peer teams
• Set technical direction and standards for the Core Platform
• Stay hands-on: writing code, reviewing designs, debugging production issues, and improving operational maturity

What We’re Looking For

• 6+ years of industry experience as a hands-on software engineer
• You are someone who has been there before — you’ve built and lived with complex systems.
• Strong experience building and maintaining backend systems end-to-end over multiple years
• Expert-level proficiency in Python and Django
• Solid experience with Docker and deploying/operating services on GCP
• Deep understanding of system design, APIs, and service-oriented architectures
• Strong production mindset: observability, reliability, performance, and security
• Demonstrates extreme ownership — you see problems as yours to solve
• Highly effective communicator, both written and verbal
• Anticipates issues and takes initiative before they escalate
• Comfortable making decisions with incomplete information
• Passionate about mentoring engineers and helping them grow technically
• Able to balance short-term execution with long-term platform health
• Trusted partner to leadership and a steady technical anchor for the organization

 
Who thrives Here

• Prefer responsibility over instructions
• Enjoy being accountable for systems that others depend on
• Care deeply about code quality, system design, and operational excellence
• Are energized by ambiguity and complex technical challenges
• Want to shape the technical foundation of a growing security platform

Workspace Requirements 

Workspace characteristics and physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

• Expected to work from AppOmni provided office space currently at PRESTIGE TECH PARK, Bellandur, Bengaluru 560103 at least 3 days a week
• Ergonomic setup to reduce strain and injury, including an appropriate chair, desk, and computer setup
• Reliable and fast internet connection to support video conferencing, access to cloud-based systems, and efficient communication whenever connecting from home
• General Mobility: Ability to perform general office duties that might require bending, sitting, lifting (like moving or adjusting computer and office equipment), and other light physical activities
• Prolonged Periods of Sitting: Ability to sit for prolonged periods
• Electronic Device Use: Frequently required to utilize computer equipment, such as a laptop
• Communication: Requires ability to communicate effectively with others - i.e. co-workers, vendors, clients, etc. for work-related purposes. Ability to understand and follow written and verbal directions in English.

Culture

Our team is collaborative and supportive as we move quickly to research and develop new ideas, deliver new features to our customers, and iterate on ideas and innovations. We accomplish this by focusing on our five core values: Trust, Transparency, Quality, Customer Focus, and Delivery. Our team is determined to make a difference to positively impact our way of life by securing the technology that is changing the world.

AppOmni is proud to be Certified by Great Place to WorkⓇ, as we seek to build a culture where all employees feel appreciated and supported, especially with clear and honest leadership, employee recognition, and an environment that fosters innovation and collaboration.

We believe diversity fuels innovation and drives growth by bringing a wealth of different perspectives and skills. We’re committed to fostering an inclusive environment where every employee feels valued, heard, and empowered to reach their full potential. Join us in building a workplace where we can all thrive.

https://appomni.com/careers/

As Engineering Director at Blink Health you are respected by colleagues for your industry leadership experience, ability to inspire and attract key talent, passion for customers and track record of delivering high-quality products that delight customers. 
In this role, your team will own the platforms and services powering Blink’s Speciality Medication business. You will lead a team of software engineers to ensure Blink’s platform is The Easiest Way to Buy Prescription Meds, while evolving underlying platform systems to scale with Blink’s expected hyper growth. Your team is proud of what they ship because you’ve built a culture of quality and continuous improvement. You will define and drive a long-term roadmap for your team, and you will scale your leadership to multiple teams.

Success:
An engineering leader at Blink Health is respected by colleagues for your deep technical contributions to the industry, your ability to inspire and attract key talent, your passion for customers and the impact of your work, and your ability to deliver large scale engineering solutions with quality. You will be responsible for leading engineering teams to build industry-defining services and products, leveraging modern cloud technology, and data technologies, setting long term technical vision, and creating a culture of quality and continuous improvement. You will be managing multiple full stack teams, responsible for building our world class product suite.

At Blink Health You Will:

• Provide technical leadership to build, develop and scale our platform that overhauls the healthcare space
• Identify business opportunities and define technical vision for your team and the company
• Be a domain expert on healthcare technology and products and an empathetic partner to our customers
• Inspire, recruit and mentor a team of high performing engineers.
• Develop a scalable engineering culture for top talent engineers
• Drive technology adoption in the team by promoting AI native culture

What We Look For:

• Proven track record of building top talent and high-performance teams, directing multiple teams and engineering managers
• Experience managing large scale systems in rapid growth environments
• Experience with modern web frameworks (e.g. React/Redux), Django/Flask, public cloud platforms (e.g. AWS) and data pipelines. 
• Familiarity with containerization, microservices architecture, continuous integration and
  delivery
• Leadership on multiple well-known products throughout their life cycles, from idea conception to product release and maintenance
• Proven success in working with product, marketing, business, and operations divisions
• Examples of engineers for whom you’ve guided their technical and career progress
• BA/BS in Computer Science or equivalent practical experience, MS/PhD preferred

How to achieve success/acumen:
You are a Director who, above all, is excited to build products that give our customers the best possible experience purchasing prescription medications. You have professional experience working on a team turning ideas into reliable, maintainable code.

• Managed career development
• Managed timelines
• Allocated Engineering resources
• Managed code reviews and career development
• Built web applications professionally
• Want to work in a highly collaborative environment: we believe a team can be stronger than its individual parts
• Are independent and curious
• Are comfortable owning features from design through delivery to production
• Have experience with one or more modern programming languages
• Are willing to dive into a large code base and contribute immediately
• Enjoy writing code that is understandable, maintainable, and testable
• Can communicate effectively with other engineers, designers, product managers, and anyone else at Blink
• Are excited to both design scalable APIs and elegant front-end code
• Good Execution - Do your best work
• Perform peer code and architecture reviews
• Build new features, write unit tests, and lead the release of these features to production.
• You enjoy diving into the system designs, technical trade offs(speed vs. quality)

Good Owner - Be the CEO of your role 

• Help the team ship new products and features successfully with the right skills, mentorship and organizational resources to deliver amazing experiences for our patients
• Coach, mentor and develop engineers to reach individual goals while fostering cross- functional collaboration and product success 
• Take responsibility for the long term success of product projects and people 

Good Learning - Learn something new every day 

• Demonstrate curiosity and an interest in learning new techniques and improving upon best practices to stay up-to-date with current and emerging trends
• Lead by example putting new ideas into action, failing fast and learning from each experience

Good Feedback - Consider the perspective of others 

• Listen actively and respond effectively through a variety of channels
• Give and receive candid and constructive feedback
• Promote trust and encourage teamwork allow the engineering team to do their best work  

Desired experience:

• 15+ years experience having worked in an engineering role 
• Familiarity with cloud infrastructure (AWS, GCP, Azure, etc).
• Want to work in a highly collaborative environment: we believe a team can be stronger than its individual parts
• Experience with some of our tech stack: Python, AWS, MySQL, Redshift, Aurora, Linux,
• Docker, Ansible, and/or nginx. Craft tools to help other teams achieve their goals and improve performance.
• You have experience building micro services and workflows that scale
• Can communicate effectively with other engineers, designers, product managers, and anyone else at Blink
• Are excited to both design scalable APIs and elegant front-end code
• Collaborative and Communicative - you love being part of a diverse team, building consensus, and establishing credibility. You are a Class-A communicator: curious, thoughtful, clear, and (mostly) correct.
• BE/BTech degree from top institution; MBA or CompSci degree preferred but not required.

Job Title: Python Developer with Azure

About Us

“Capco, a Wipro company, is a global technology and management consulting firm. Awarded with Consultancy of the year in the  British Bank Award and has been ranked Top 100 Best Companies for Women in India 2022 by Avtar & Seramount. With our presence across 32 cities across globe, we support 100+ clients across banking, financial and Energy sectors. We are recognized for our deep transformation execution and delivery. 

WHY JOIN CAPCO?

You will work on engaging projects with the largest international and local banks, insurance companies, payment service providers and other key players in the industry. The projects that will transform the financial services industry.

MAKE AN IMPACT

Innovative thinking, delivery excellence and thought leadership to help our clients transform their business. Together with our clients and industry partners, we deliver disruptive work that is changing energy and financial services.

#BEYOURSELFATWORK

Capco has a tolerant, open culture that values diversity, inclusivity, and creativity.

CAREER ADVANCEMENT

With no forced hierarchy at Capco, everyone has the opportunity to grow as we grow, taking their career into their own hands.

DIVERSITY & INCLUSION

We believe that diversity of people and perspective gives us a competitive advantage.

MAKE AN IMPACT

Role Title:

Job Description: Python Developer (3–7 Years Experience) We are seeking a proactive Python Developer to join our development team. This role is ideal for a developer who is passionate about writing clean, efficient code and is capable of managing the full lifecycle of a feature. You will work in a fast-paced, dynamic environment where taking initiative and working with minimal supervision are key to success. Technical Requirements • Python Fundamentals: Deep understanding of Python 3.x core concepts, including data structures (Lists, Dicts, Sets), decorators, generators, and context managers. • API Development: Proven experience building and consuming RESTful APIs (using frameworks such as FastAPI, Flask, or Django). • Engineering Principles: Strong grasp of SOLID principles and object-oriented programming (OOP) to ensure code is maintainable, modular, and scalable. • Asynchronous Programming: Experience with asynchronous programming in Python (asyncio) for handling high-concurrency tasks. • Azure DevOps: Hands-on experience using Azure DevOps for version control (Git), sprint management, and participating in CI/CD workflows. Key Responsibilities • End-to-End Delivery: Analyze, estimate, develop, and test user stories with a high degree of accuracy and attention to detail. • Independent Work: Ability to drive projects forward with minimum supervision, demonstrating a proactive approach to problem-solving and technical challenges. • Agile Adaptability: Thrive in a dynamic environment, adapting quickly to evolving requirements, shifting priorities, and tight sprint cycles. • Testing & Quality: Responsible for writing unit tests and ensuring high code coverage to maintain system stability. Nice to Have Candidates with experience in the following Azure cloud services and industrial data platforms will be given strong preference: • Azure Messaging: Experience with Azure Service Bus for building decoupled, message-driven architectures. • Azure Hosting & Security: Proficiency in deploying applications via Azure App Service and managing secrets using Azure Key Vault. • Azure Storage: Hands-on experience with Azure Blob Storage for managing large-scale unstructured data. • Industrial Data Platforms: Familiarity with Cognite Data Fusion (CDF) for industrial data operations, SDK integrations, and data modeling. SLB-Private Experience & Qualifications • Experience: 3 to 7 years of professional Python development experience. • Education: Bachelor’s degree in Computer Science, Software Engineering, or a related field. • Soft Skills: Excellent analytical skills and the ability to communicate technical logic to both technical and non-technical stakeholders.

Job Title : Staff Software Engineer (Backend)

Location : Bengaluru, IN

About the Role : 

We are seeking a highly experienced Staff Software Engineer to lead the design and evolution of our platform and framework ecosystem. This role is ideal for a hands-on technical leader who thrives on building scalable frameworks, driving engineering excellence, and influencing teams across the organization. 

You will play a critical role in shaping the technical direction of our platform, enabling teams to build high-quality, reliable, and scalable services efficiently.

What will you own :

• Lead the design and development of scalable and resilient Frameworks hat empower scalable customer-facing APIs. 
• Influence architecture and design decisions across multiple teams; act as a technical advisor and escalation point for complex challenges.
• Align engineering initiatives with business goals and organizational priorities.
• Champion best practices in software engineering, including code quality, testing, observability, and maintainability across teams. 
• Advocate for developer productivity by improving tooling, documentation, and onboarding experiences. Act as a developer evangelist for platform capabilities.
• Mentor senior engineers and contribute to raising the technical bar across the organization through reviews, design discussions, and knowledge sharing.
• Leverage generative AI and AI coding tools to accelerate developer productivity, engineering workflows, and automation of repetitive tasks

What we're looking for :

• 8+ years of professional experience in software engineering, including at least 2 years in a senior or staff-level role. 
• Strong proficiency in TypeScript, GoLang, and Java
• Experience building platforms, frameworks, libraries, or SDKs at scale
• Strong understanding of software engineering best practices (code quality, testing, CI/CD, observability)
• Experience with cloud-native architectures, containerization (Docker), and orchestration (Kubernetes)
• Solid experience with databases (SQL and NoSQL) and caching strategies
• Proven ability to lead technical initiatives and influence without direct authority
• Familiarity with CI/CD pipelines and modern DevOps practices.
• Understanding of AI-native software development practices, including automated code generation, AI-driven testing, and human-in-the-loop review systems
• Proven ability to adopt and drive modern engineering paradigms, particularly integrating AI into development workflows to improve productivity, quality, and delivery speed
• Strong communication skills with the ability to explain complex technical concepts to non-technical stakeholders.
• Proven leadership experience, including mentoring engineers and leading technical initiatives.

Preferred Qualifications : 

• Experience with Python and Django 
• Experience building scalable APIs (external or partner-facing preferred)
• Experience acting as a technical evangelist (talks, documentation, internal advocacy)
• Familiarity with API gateways, authentication/authorization patterns, and rate limiting

Success In this role would look like :

• This is a high-impact role at the intersection of platform engineering and developer experience.
• You will define how engineers build, scale, and operate services—shaping both the technical architecture and the engineering culture of the organization.

About the Role:

We are seeking a visionary and hands-on Senior Staff AI Engineer to be the foundational pillar of our strategy in the Content portfolio. You will be the catalyst who injects deep, modern AI expertise into our product portfolio. Your mission will be to research, architect, and pioneer the solutions that will process and extract intelligent insights from millions of unstructured documents and multi-media files every single day.

This is a unique "founding engineer" opportunity to shape the future of AI within our company. You will be the primary AI/ML authority, responsible for identifying and implementing state-of-the-art techniques for document classification, entity extraction, image search, and more. If you are a seasoned engineer who thrives on solving massive-scale data challenges and wants to build a center of excellence from the ground up, this role is for you.

What You’ll Do:

• Spearhead AI Innovation: Act as the chief technical authority on AI, you will research, evaluate, and prototype cutting-edge solutions using Large Language Models (LLMs), Computer Vision, and other machine learning techniques to solve our most complex data extraction challenges.
• Architect for Scale: Design and build robust, highly scalable, and cost-effective AI services and data processing pipelines. Your architecture will be the backbone for processing millions of documents daily with high reliability and throughput.
• Tackle Real-World AI Challenges: Go beyond theory to systematically solve the practical problems of production AI. This includes managing LLM latency and variance, developing sophisticated prompt engineering strategies, and building fault-tolerant, defensive systems that perform consistently.
• Be a Force Multiplier: Act as the key technical mentor and thought leader for our large engineering team and drive some mission-critical initiatives to production

Who You Are:

Core Qualifications

• 10+ years of professional software engineering experience, with a proven track record of building complex, data-intensive, backend systems.
• Deep expertise (5+ years) in building and scaling production-grade services using modern backend frameworks such as FastAPI, Django, Sanic, Spring Boot or similar.
• Significant, hands-on experience (3+ years) in the complete lifecycle of AI/ML models: from experimentation and prototyping to deploying, monitoring, and iterating on them in a high-volume cloud environment.
• Mastery in designing large-scale distributed systems, demonstrating strong knowledge of asynchronous patterns, streaming/queuing/caching strategies, and robust observability (logging, metrics, tracing).
• Exceptional communication and leadership skills. You can articulate complex technical concepts to diverse audiences and have the ability to influence engineering direction across multiple teams without direct authority.

Nice to have

• Proficiency with modern DevOps and MLOps practices, including CI/CD pipelines, Infrastructure as Code (IaC), and automated testing frameworks.
• Hands-on experience with containerization and orchestration technologies, particularly Docker and Kubernetes.

About the Role:

We are seeking a visionary and hands-on Senior Staff AI Engineer to be the foundational pillar of our strategy in the Content portfolio. You will be the catalyst who injects deep, modern AI expertise into our product portfolio. Your mission will be to research, architect, and pioneer the solutions that will process and extract intelligent insights from millions of unstructured documents and multi-media files every single day.

This is a unique "founding engineer" opportunity to shape the future of AI within our company. You will be the primary AI/ML authority, responsible for identifying and implementing state-of-the-art techniques for document classification, entity extraction, image search, and more. If you are a seasoned engineer who thrives on solving massive-scale data challenges and wants to build a center of excellence from the ground up, this role is for you.

What You’ll Do:

• Spearhead AI Innovation: Act as the chief technical authority on AI, you will research, evaluate, and prototype cutting-edge solutions using Large Language Models (LLMs), Computer Vision, and other machine learning techniques to solve our most complex data extraction challenges.
• Architect for Scale: Design and build robust, highly scalable, and cost-effective AI services and data processing pipelines. Your architecture will be the backbone for processing millions of documents daily with high reliability and throughput.
• Tackle Real-World AI Challenges: Go beyond theory to systematically solve the practical problems of production AI. This includes managing LLM latency and variance, developing sophisticated prompt engineering strategies, and building fault-tolerant, defensive systems that perform consistently.
• Be a Force Multiplier: Act as the key technical mentor and thought leader for our large engineering team and drive some mission-critical initiatives to production

Who You Are:

Core Qualifications

• 10+ years of professional software engineering experience, with a proven track record of building complex, data-intensive, backend systems.
• Deep expertise (5+ years) in building and scaling production-grade services using modern backend frameworks such as FastAPI, Django, Sanic, Spring Boot or similar.
• Significant, hands-on experience (3+ years) in the complete lifecycle of AI/ML models: from experimentation and prototyping to deploying, monitoring, and iterating on them in a high-volume cloud environment.
• Mastery in designing large-scale distributed systems, demonstrating strong knowledge of asynchronous patterns, streaming/queuing/caching strategies, and robust observability (logging, metrics, tracing).
• Exceptional communication and leadership skills. You can articulate complex technical concepts to diverse audiences and have the ability to influence engineering direction across multiple teams without direct authority.

Nice to have

• Proficiency with modern DevOps and MLOps practices, including CI/CD pipelines, Infrastructure as Code (IaC), and automated testing frameworks.
• Hands-on experience with containerization and orchestration technologies, particularly Docker and Kubernetes.

Cambridge Mobile Telematics (CMT) is the world’s largest telematics service provider. Its mission is to make the world’s roads and drivers safer. The company’s AI-driven platform, DriveWell® Fusion, gathers sensor data from millions of IoT devices — including smartphones, proprietary Tags, connected vehicles, dashcams, and third-party devices — and fuses them with contextual data to create a unified view of vehicle and driver behavior. Auto insurers, automakers, commercial mobility companies, and the public sector use insights from CMT’s platform to power risk assessment, safety, claims, and driver improvement programs. Headquartered in Cambridge, MA, with offices in Budapest, Chennai, Seattle, Tokyo, and Zagreb, CMT measures and protects tens of millions of drivers across the world every day.

CMT is seeking a senior level Cloud Software Engineer to produce scalable software solutions to reliably collect and manage data from sensors on smartphones and connected devices in vehicles. In this role, you will design architecture, build front end applications, and build features and applications that meet the needs of our customers. If you’re interested in using your skills to make the world's roads and drivers safer, we’d like to meet you.

CMT is looking for a collaborative, customer-committed, and creative Senior Software Engineer, Full Stack who wants to join us in making roads safer by making drivers better!

Responsibilities:

• Solve complex problems and transform them into business solutions in collaboration with team members
•  Analyze and translate business and functional specifications and change requests into technical specifications suitable for implementation
• Able to independently transform complex technical requirements into smaller implementable pieces; able to implement performant software solutions that are maintainable, scalable, reliable and testable
• Participate in code and design reviews
• Train and guide junior developers on proper software development procedures and methods
• Follow company defined development and operational standards and processes
• Provide on-call support during business critical emergency scenarios.
• Support and troubleshoot production issues as needed
• Complete any additional tasks as they arise

Qualifications:

• Bachelor’s degree or equivalent years of experience and/or certification in Computer Science or related field
• 4+ years of relevant experience in web application development and programming
• Knowledge of Django or a similar middleware is a must
• Should be Hands on and passionate to code and familiar with using AI tools like co-pilot and cursor
• Top-notch programming skills and knowledge of modern HTML/CSS, jQuery
• Proficiency with Python and ReactJS
• Proficient and SQL and Postgres Database knowledge is an added advantage
• Strong experience throughout the stack web applications, API and database
• Knowledge of, and ability to use, relational database systems
• Good understanding of how web applications work
• Proven ability to deliver results
• An analytical mindset
•  Ability to commute to our CMT, Chennai office 3 days per week

Compensation and Benefits:

• Fair and competitive salary based on skills and experience
• Equity may be awarded in the form of Restricted Stock Units (RSUs)
• Medical Benefits (Health insurance, Personal accident insurance, Group term life insurance), gratuity, parental leave, sick leave and public holidays
• Employees are eligible for flexible allowances which includes Leave Travel Assistance, Telephone/Mobile Expenses, Professional development expenses, Meals Coupon, Vehicle Reimbursement
• Flexible scheduling and work from home policy depending on role and responsibilities

Additional Perks:

• Feel great working to improve road safety around the world!
• Join one of our many employee resource groups including Black, AAPI, LGBTQIA+, Women, Book Club and Health & Wellness
• Extensive education and employee assistance programs
• CMT will do all that is possible to support our employees and create a positive and inclusive work environment for all!

Commitment to Diversity and Inclusion:

At CMT, we believe the best ideas come from a mix of backgrounds and perspectives. 

We are an equal-opportunity employer committed to creating a workplace and culture where everyone feels valued, respected, and empowered to bring their unique talents and perspectives. Diversity is essential to our success, and we actively seek candidates from all backgrounds to join our growing team. 

We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status or disability state. CMT is headquartered in Cambridge, MA. To learn more, visit www.cmtelematics.com and follow us on X @cmtelematics.

Job Title: GenAI Developer/ Engineer

About Us

“Capco, a Wipro company, is a global technology and management consulting firm. Awarded with Consultancy of the year in the British Bank Award and has been ranked Top 100 Best Companies for Women in India 2022 by Avtar & Seramount. With our presence across 32 cities across globe, we support 100+ clients across banking, financial and Energy sectors. We are recognized for our deep transformation execution and delivery. 

WHY JOIN CAPCO?

You will work on engaging projects with the largest international and local banks, insurance companies, payment service providers and other key players in the industry. The projects that will transform the financial services industry.

MAKE AN IMPACT

Innovative thinking, delivery excellence and thought leadership to help our clients transform their business. Together with our clients and industry partners, we deliver disruptive work that is changing energy and financial services.

#BEYOURSELFATWORK

Capco has a tolerant, open culture that values diversity, inclusivity, and creativity.

CAREER ADVANCEMENT

With no forced hierarchy at Capco, everyone has the opportunity to grow as we grow, taking their career into their own hands.

DIVERSITY & INCLUSION

We believe that diversity of people and perspective gives us a competitive advantage.

Location - Bangalore

Experience - 6 to 10

Skills and Qualifications:

Preferred skills:

Programming: Advanced Python (async programming, OOP, REST APIs, FastAPI, Flask, Pandas, NumPy)

GenAI Frameworks: LangChain, LlamaIndex, Haystack, Semantic Kernel

Machine Learning and AI: Snowflake Cortex, TensorFlow, PyTorch

Key Responsibilities:

• Develop scalable Python applications focused on GenAI
• Knowledge of Snowflake Cortex is a big plus.
• Learn and apply techniques like document chunking and embeddings
• Proficient in both SQL (e.g., PostgreSQL, MySQL) and NoSQL (e.g., MongoDB, Cassandra) databases, including schema design and optimization.
• Design, develop, and fine-tune applications built around foundation models (e.g., LLMs, multimodal models) for specific business needs
• Implement and experiment with generative AI techniques, including but not limited to Retrieval-Augmented Generation (RAG) and prompt engineering
• Lead the implementation of intelligent autonomous agents and multi-agent systems capable of complex decision-making, task execution, and interaction with external systems
• Utilize and contribute to agentic AI frameworks (e.g., LangChain, AutoGen, Semantic Kernel, Crew AI) to build robust and scalable AI agents
• Develop and integrate Model Context Protocol (MCP) solutions to standardize how AI applications access and utilize external data sources, tools, and real-time information
• Lead the development of full-stack applications that integrate generative AI models and agentic systems, ensuring seamless user experiences
• Work with front-end technologies (e.g., React, Angular, Vue.js, JavaScript, TypeScript, HTML, CSS) and back-end frameworks (e.g., Python with Flask/Django/FastAPI, Node.js, Go)
• Design and implement scalable RESTful APIs and microservices to expose AI functionalities
• Deploy, manage, and optimize AI/ML workloads and full-stack applications on at least one major cloud platform (AWS, Azure, or GCP)
• Implement LLMOps/MLOps and DevOps best practices for continuous integration, continuous delivery (CI/CD), model deployment, monitoring, and lifecycle management
• Follow coding best practices and contribute to testing and documentation
• Stay abreast of the latest advancements in generative AI, agentic systems, foundation models, and related fields through continuous research and experimentation
• Collaborate effectively with cross-functional teams, including product managers, data scientists, researchers, and other engineers
• Communicate effectively with both technical and non-technical team members, ensuring alignment and understanding across all project phases.

Who we are

At Fluxon, we believe that how you build matters as much as what you build. We help businesses navigate their most important technology decisions with confidence, and take responsibility for seeing them through. Founded by ex-Googlers and startup veterans, we’re proud to partner with teams behind some of the most ambitious products, including Google, OpenAI, Anthropic, Walmart and Stripe. 

Our work spans strategy, design, and engineering — often in complex, AI-driven environments — where clarity, speed and quality are the standard. We use AI intentionally, applying it only where it adds real value and expands what’s possible. Care shapes everything we do.

Inside Fluxon, you’ll find a global, remote-first team of experienced builders, who are curious, kind and serious about their craft. We’re building a place where people can take ownership, solve problems that matter and do work they’re proud to stand behind. If you want to do your best work alongside people who care as much as you do, you’ll feel at home here.

The role is open to candidates based in Gurgaon, India.

About the role

As a Staff Software Engineer at Fluxon, you'll drive the end-to-end delivery of products to market while learning, contributing, and growing in partnership with our leadership team

You'll be responsible for:

• Guiding project delivery all the way to the user, leading projects, building and iterating in a dynamic environment
• Partnering directly with clients to understand their needs, and achieve business goals
• Defining product requirements, identifying appropriate system designs and planning development in partnership with our Product and Design teams
• Supporting development of a healthy and effective engineering culture

You'll work with a diversity of technologies, including:

• Languages
  • TypeScript/JavaScript, Java, .Net, Python, Golang, Rust, Ruby on Rails, Kotlin, Swift
• Frameworks
  • Next.js, React, Angular, Spring, Expo, FastAPI, Django, SwiftUI
• Cloud Service Providers
  • Google Cloud Platform, Amazon Web Services, Microsoft Azure
• Cloud Services
  
  • Compute Engine, AWS Amplify, Fargate, Cloud Run
  • Apache Kafka, SQS, GCP CMS
  • S3, GCS
• Technologies
  
  • AI/ML, LLMs, Crypto, SPA, Mobile apps, Architecture redesign 
  • Google Gemini, OpenAI ChatGPT, Vertex AI, Anthropic Claude, Huggingface
• Databases
  • Firestore(Firebase), PostgreSQL, MariaDB, BigQuery, Supabase
  • Redis, Memcache

Qualifications

• 7+ years of industry experience in software development
• Experience leading development through the full product lifecycle, including CI/CD, testing, release management, deployment, monitoring and incident response
• Fluent in the design and implementation of scalable system architectures, data structures and algorithms, and effective development practices

What we offer

• Remote-first, flexible work with a budget to set up a work space that works for you
• Localized healthcare coverage to support you and your family’s wellbeing
• Flexible paid time off with a minimum of 3 weeks per year (plus holidays)
• "No internal meetings" Fridays, so you can focus on deep, uninterrupted work
• A professional growth budget for learning that matters to you –  whether it’s developing your technical skills or learning a new language
• A monthly wellness allowance to support your physical and mental health 
• Annual company offsites, where we gather in person to build meaningful connections
• A competitive salary that reflects your expertise, impact and experience
• Profit-sharing, so you can benefit directly from the value we build together
• A paid sabbatical program, designed for rest, renewal and fresh perspective

Who we are

At Fluxon, we believe that how you build matters as much as what you build. We help businesses navigate their most important technology decisions with confidence, and take responsibility for seeing them through. Founded by ex-Googlers and startup veterans, we’re proud to partner with teams behind some of the most ambitious products, including Google, OpenAI, Anthropic, Walmart and Stripe. 

Our work spans strategy, design, and engineering — often in complex, AI-driven environments — where clarity, speed and quality are the standard. We use AI intentionally, applying it only where it adds real value and expands what’s possible. Care shapes everything we do.

Inside Fluxon, you’ll find a global, remote-first team of experienced builders, who are curious, kind and serious about their craft. We’re building a place where people can take ownership, solve problems that matter and do work they’re proud to stand behind. If you want to do your best work alongside people who care as much as you do, you’ll feel at home here.

The role is open to candidates based in Hyderabad, India.

About the role

As a Senior Software Engineer at Fluxon, you'll have the opportunity to bring products to market while learning, contributing, and growing with our team.

You'll be responsible for:

• Driving end-to-end implementations all the way to the user, collaborating with your team to build and iterate in a dynamic environment
• Engaging directly with clients to understand business goals, give demos, and debug production issues
• Informing product requirements, identifying appropriate technical designs in partnership with our Product and Design teams
• Proactively communicating progress and challenges in your work and seeking help when you need it
• Performing code reviews and cross-feature validations
• Providing mentorship in your areas of expertise

You'll work with a diversity of technologies, including:

• Languages
  • TypeScript/JavaScript, Java, .Net, Python, Golang, Rust, Ruby on Rails, Kotlin, Swift
• Frameworks
  • Next.js, React, Angular, Spring, Expo, FastAPI, Django, SwiftUI
• Cloud Service Providers
  • Google Cloud Platform, Amazon Web Services, Microsoft Azure
• Cloud Services
  
  • Compute Engine, AWS Amplify, Fargate, Cloud Run
  • Apache Kafka, SQS, GCP CMS
  • S3, GCS
• Technologies
  
  • AI/ML, LLMs, Crypto, SPA, Mobile apps, Architecture redesign 
  • Google Gemini, OpenAI ChatGPT, Vertex AI, Anthropic Claude, Huggingface
• Databases
  • Firestore(Firebase), PostgreSQL, MariaDB, BigQuery, Supabase
  • Redis, Memcache

Qualifications

• 5+ years of industry experience in software development
• Experienced with the full product lifecycle, including CI/CD, testing, release management, deployment, monitoring and incident response
• Fluent in software design patterns, scalable system architectures, tooling, fundamentals of data structures and algorithms

What we offer

• Remote-first, flexible work with a budget to set up a work space that works for you
• Localized healthcare coverage to support you and your family’s wellbeing
• Flexible paid time off with a minimum of 3 weeks per year (plus holidays)
• "No internal meetings" Fridays, so you can focus on deep, uninterrupted work
• A professional growth budget for learning that matters to you –  whether it’s developing your technical skills or learning a new language
• A monthly wellness allowance to support your physical and mental health
• Annual company offsites, where we gather in person to build meaningful connections
• A competitive salary that reflects your expertise, impact and experience
• Profit-sharing, so you can benefit directly from the value we build together
• A paid sabbatical program, designed for rest, renewal and fresh perspective

Who we are

At Fluxon, we believe that how you build matters as much as what you build. We help businesses navigate their most important technology decisions with confidence, and take responsibility for seeing them through. Founded by ex-Googlers and startup veterans, we’re proud to partner with teams behind some of the most ambitious products, including Google, OpenAI, Anthropic, Walmart and Stripe. 

Our work spans strategy, design, and engineering — often in complex, AI-driven environments — where clarity, speed and quality are the standard. We use AI intentionally, applying it only where it adds real value and expands what’s possible. Care shapes everything we do.

Inside Fluxon, you’ll find a global, remote-first team of experienced builders, who are curious, kind and serious about their craft. We’re building a place where people can take ownership, solve problems that matter and do work they’re proud to stand behind. If you want to do your best work alongside people who care as much as you do, you’ll feel at home here.

The role is open to candidates based in Bangalore, India.

About the role

As a Senior Software Engineer at Fluxon, you'll have the opportunity to bring products to market while learning, contributing, and growing with our team.

You'll be responsible for:

• Driving end-to-end implementations all the way to the user, collaborating with your team to build and iterate in a dynamic environment
• Engaging directly with clients to understand business goals, give demos, and debug production issues
• Informing product requirements, identifying appropriate technical designs in partnership with our Product and Design teams
• Proactively communicating progress and challenges in your work and seeking help when you need it
• Performing code reviews and cross-feature validations
• Providing mentorship in your areas of expertise

You'll work with a diversity of technologies, including:

• Languages
  • TypeScript/JavaScript, Java, .Net, Python, Golang, Rust, Ruby on Rails, Kotlin, Swift
• Frameworks
  • Next.js, React, Angular, Spring, Expo, FastAPI, Django, SwiftUI
• Cloud Service Providers
  • Google Cloud Platform, Amazon Web Services, Microsoft Azure
• Cloud Services
  
  • Compute Engine, AWS Amplify, Fargate, Cloud Run
  • Apache Kafka, SQS, GCP CMS
  • S3, GCS
• Technologies
  
  • AI/ML, LLMs, Crypto, SPA, Mobile apps, Architecture redesign 
  • Google Gemini, OpenAI ChatGPT, Vertex AI, Anthropic Claude, Huggingface
• Databases
  • Firestore(Firebase), PostgreSQL, MariaDB, BigQuery, Supabase
  • Redis, Memcache

Qualifications

• 5+ years of industry experience in software development
• Experienced with the full product lifecycle, including CI/CD, testing, release management, deployment, monitoring and incident response
• Fluent in software design patterns, scalable system architectures, tooling, fundamentals of data structures and algorithms

What we offer

• Remote-first, flexible work with a budget to set up a work space that works for you
• Localized healthcare coverage to support you and your family’s wellbeing
• Flexible paid time off with a minimum of 3 weeks per year (plus holidays)
• "No internal meetings" Fridays, so you can focus on deep, uninterrupted work
• A professional growth budget for learning that matters to you –  whether it’s developing your technical skills or learning a new language
• A monthly wellness allowance to support your physical and mental health
• Annual company offsites, where we gather in person to build meaningful connections
• A competitive salary that reflects your expertise, impact and experience
• Profit-sharing, so you can benefit directly from the value we build together
• A paid sabbatical program, designed for rest, renewal and fresh perspective

Who we are

At Fluxon, we believe that how you build matters as much as what you build. We help businesses navigate their most important technology decisions with confidence, and take responsibility for seeing them through. Founded by ex-Googlers and startup veterans, we’re proud to partner with teams behind some of the most ambitious products, including Google, OpenAI, Anthropic, Walmart and Stripe. 

Our work spans strategy, design, and engineering — often in complex, AI-driven environments — where clarity, speed and quality are the standard. We use AI intentionally, applying it only where it adds real value and expands what’s possible. Care shapes everything we do.

Inside Fluxon, you’ll find a global, remote-first team of experienced builders, who are curious, kind and serious about their craft. We’re building a place where people can take ownership, solve problems that matter and do work they’re proud to stand behind. If you want to do your best work alongside people who care as much as you do, you’ll feel at home here.

The role is open to candidates based in Bangalore, India.

About the role

As a Staff Software Engineer at Fluxon, you'll drive the end-to-end delivery of products to market while learning, contributing, and growing in partnership with our leadership team

You'll be responsible for:

• Guiding project delivery all the way to the user, leading projects, building and iterating in a dynamic environment
• Partnering directly with clients to understand their needs, and achieve business goals
• Defining product requirements, identifying appropriate system designs and planning development in partnership with our Product and Design teams
• Supporting development of a healthy and effective engineering culture

You'll work with a diversity of technologies, including:

• Languages
  • TypeScript/JavaScript, Java, .Net, Python, Golang, Rust, Ruby on Rails, Kotlin, Swift
• Frameworks
  • Next.js, React, Angular, Spring, Expo, FastAPI, Django, SwiftUI
• Cloud Service Providers
  • Google Cloud Platform, Amazon Web Services, Microsoft Azure
• Cloud Services
  
  • Compute Engine, AWS Amplify, Fargate, Cloud Run
  • Apache Kafka, SQS, GCP CMS
  • S3, GCS
• Technologies
  
  • AI/ML, LLMs, Crypto, SPA, Mobile apps, Architecture redesign 
  • Google Gemini, OpenAI ChatGPT, Vertex AI, Anthropic Claude, Huggingface
• Databases
  • Firestore(Firebase), PostgreSQL, MariaDB, BigQuery, Supabase
  • Redis, Memcache

Qualifications

• 7+ years of industry experience in software development
• Experience leading development through the full product lifecycle, including CI/CD, testing, release management, deployment, monitoring and incident response
• Fluent in the design and implementation of scalable system architectures, data structures and algorithms, and effective development practices

What we offer

• Remote-first, flexible work with a budget to set up a work space that works for you
• Localized healthcare coverage to support you and your family’s wellbeing
• Flexible paid time off with a minimum of 3 weeks per year (plus holidays)
• "No internal meetings" Fridays, so you can focus on deep, uninterrupted work
• A professional growth budget for learning that matters to you –  whether it’s developing your technical skills or learning a new language
• A monthly wellness allowance to support your physical and mental health
• Annual company offsites, where we gather in person to build meaningful connections
• A competitive salary that reflects your expertise, impact and experience
• Profit-sharing, so you can benefit directly from the value we build together
• A paid sabbatical program, designed for rest, renewal and fresh perspective

Who we are

At Fluxon, we believe that how you build matters as much as what you build. We help businesses navigate their most important technology decisions with confidence, and take responsibility for seeing them through. Founded by ex-Googlers and startup veterans, we’re proud to partner with teams behind some of the most ambitious products, including Google, OpenAI, Anthropic, Walmart and Stripe. 

Our work spans strategy, design, and engineering — often in complex, AI-driven environments — where clarity, speed and quality are the standard. We use AI intentionally, applying it only where it adds real value and expands what’s possible. Care shapes everything we do.

Inside Fluxon, you’ll find a global, remote-first team of experienced builders, who are curious, kind and serious about their craft. We’re building a place where people can take ownership, solve problems that matter and do work they’re proud to stand behind. If you want to do your best work alongside people who care as much as you do, you’ll feel at home here.

The role is open to candidates based in Hyderabad, India.

About the role

As a Staff Software Engineer at Fluxon, you'll drive the end-to-end delivery of products to market while learning, contributing, and growing in partnership with our leadership team

You'll be responsible for:

• Guiding project delivery all the way to the user, leading projects, building and iterating in a dynamic environment
• Partnering directly with clients to understand their needs, and achieve business goals
• Defining product requirements, identifying appropriate system designs and planning development in partnership with our Product and Design teams
• Supporting development of a healthy and effective engineering culture

You'll work with a diversity of technologies, including:

• Languages
  • TypeScript/JavaScript, Java, .Net, Python, Golang, Rust, Ruby on Rails, Kotlin, Swift
• Frameworks
  • Next.js, React, Angular, Spring, Expo, FastAPI, Django, SwiftUI
• Cloud Service Providers
  • Google Cloud Platform, Amazon Web Services, Microsoft Azure
• Cloud Services
  
  • Compute Engine, AWS Amplify, Fargate, Cloud Run
  • Apache Kafka, SQS, GCP CMS
  • S3, GCS
• Technologies
  
  • AI/ML, LLMs, Crypto, SPA, Mobile apps, Architecture redesign 
  • Google Gemini, OpenAI ChatGPT, Vertex AI, Anthropic Claude, Huggingface
• Databases
  • Firestore(Firebase), PostgreSQL, MariaDB, BigQuery, Supabase
  • Redis, Memcache

Qualifications

• 7+ years of industry experience in software development
• Experience leading development through the full product lifecycle, including CI/CD, testing, release management, deployment, monitoring and incident response
• Fluent in the design and implementation of scalable system architectures, data structures and algorithms, and effective development practices

What we offer

• Remote-first, flexible work with a budget to set up a work space that works for you
• Localized healthcare coverage to support you and your family’s wellbeing
• Flexible paid time off with a minimum of 3 weeks per year (plus holidays)
• "No internal meetings" Fridays, so you can focus on deep, uninterrupted work
• A professional growth budget for learning that matters to you –  whether it’s developing your technical skills or learning a new language
• A monthly wellness allowance to support your physical and mental health
• Annual company offsites, where we gather in person to build meaningful connections
• A competitive salary that reflects your expertise, impact and experience
• Profit-sharing, so you can benefit directly from the value we build together
• A paid sabbatical program, designed for rest, renewal and fresh perspective

Who we are

At Fluxon, we believe that how you build matters as much as what you build. We help businesses navigate their most important technology decisions with confidence, and take responsibility for seeing them through. Founded by ex-Googlers and startup veterans, we’re proud to partner with teams behind some of the most ambitious products, including Google, OpenAI, Anthropic, Walmart and Stripe. 

Our work spans strategy, design, and engineering — often in complex, AI-driven environments — where clarity, speed and quality are the standard. We use AI intentionally, applying it only where it adds real value and expands what’s possible. Care shapes everything we do.

Inside Fluxon, you’ll find a global, remote-first team of experienced builders, who are curious, kind and serious about their craft. We’re building a place where people can take ownership, solve problems that matter and do work they’re proud to stand behind. If you want to do your best work alongside people who care as much as you do, you’ll feel at home here.

The role is open to candidates based in Gurgaon, India.

About the role

As a Senior Software Engineer at Fluxon, you'll have the opportunity to bring products to market while learning, contributing, and growing with our team.

You'll be responsible for:

• Driving end-to-end implementations all the way to the user, collaborating with your team to build and iterate in a dynamic environment
• Engaging directly with clients to understand business goals, give demos, and debug production issues
• Informing product requirements, identifying appropriate technical designs in partnership with our Product and Design teams
• Proactively communicating progress and challenges in your work and seeking help when you need it
• Performing code reviews and cross-feature validations
• Providing mentorship in your areas of expertise

You'll work with a diversity of technologies, including:

• Languages
  • TypeScript/JavaScript, Java, .Net, Python, Golang, Rust, Ruby on Rails, Kotlin, Swift
• Frameworks
  • Next.js, React, Angular, Spring, Expo, FastAPI, Django, SwiftUI
• Cloud Service Providers
  • Google Cloud Platform, Amazon Web Services, Microsoft Azure
• Cloud Services
  
  • Compute Engine, AWS Amplify, Fargate, Cloud Run
  • Apache Kafka, SQS, GCP CMS
  • S3, GCS
• Technologies
  
  • AI/ML, LLMs, Crypto, SPA, Mobile apps, Architecture redesign 
  • Google Gemini, OpenAI ChatGPT, Vertex AI, Anthropic Claude, Huggingface
• Databases
  • Firestore(Firebase), PostgreSQL, MariaDB, BigQuery, Supabase
  • Redis, Memcache

Qualifications

• 5+ years of industry experience in software development
• Experienced with the full product lifecycle, including CI/CD, testing, release management, deployment, monitoring and incident response
• Fluent in software design patterns, scalable system architectures, tooling, fundamentals of data structures and algorithms

What we offer

• Remote-first, flexible work with a budget to set up a work space that works for you
• Localized healthcare coverage to support you and your family’s wellbeing
• Flexible paid time off with a minimum of 3 weeks per year (plus holidays)
• "No internal meetings" Fridays, so you can focus on deep, uninterrupted work
• A professional growth budget for learning that matters to you –  whether it’s developing your technical skills or learning a new language
• A monthly wellness allowance to support your physical and mental health
• Annual company offsites, where we gather in person to build meaningful connections
• A competitive salary that reflects your expertise, impact and experience
• Profit-sharing, so you can benefit directly from the value we build together
• A paid sabbatical program, designed for rest, renewal and fresh perspective

Who are we, you ask?

Interviews can be hard, especially at top tech companies like Google, Facebook, and Netflix. Many candidates fall short simply because they aren’t adequately prepared. That’s where we come in. Our acclaimed courses specialize in interview preparation and transitioning into high-demand tech fields such as AI, ML, and Data Science. At Interview Kickstart, current and former hiring managers have guided over 25,000 tech professionals through transformative career journeys, ensuring their success in landing coveted positions. Think of us as “the everything store” for career transitions and interview skill development.

How do we do that, you ask?

We have a structured approach to interview success, which includes:

• Career Accelerator Course
• Comprehensive end-to-end courses and platform
• A roster of over 600+ instructors from leading Silicon Valley companies like Google, Facebook, Amazon, and Netflix
• A holistic approach that includes live classes, mock interviews, personalized coaching, resume refinement, career strategies, and invaluable referrals

What’s more exciting is - we are completely remote, and we are hiring the best people we can find regardless of geography.

Engineering Manager 

Description

• We are seeking dynamic and experienced leaders to grow our engineering teams, scale our development & release processes, and create world-class products.
• Our platform is built on the Python Django / DRF framework with a frontend in NextJs along with MySQL/Redis and a bunch of other Amazon Web Services on the backend.
• The job requires the following:
• Hands-on experience in architecting, designing, developing & scaling complex systems with highly available set-ups and large transactional and complex web-based systems
• Strong knowledge of design patterns and their applications.
• Good know-how of standard coding practices, quality and review guidelines
• Building / Hiring high-performance software engineering teams 
• Solid understanding of business processes and the application of technology to implement and thereafter streamline them
• Experience in presenting plans, updates, and risks to all stakeholders is a critical part of the role.
• Strong leadership and communication skills
• Excellent knowledge of the latest technology trends and motivate the team for the same.
• Well-versed in productivity and AI tools to increase productivity.
• A technologist at heart and is passionate about the latest technological developments.

Requirements:

• 7+ years of experience in building software products and SaaS applications with strong hands-on development experience in web technologies.
• 3+ years of experience owning and operating high-volume production applications
• 3+ years of solid experience in designing loosely coupled and scalable architecture.
• 3+ years of collaborating experience with product design teams, customers, and other stakeholders to have timely deliverables.
• 3+ years of experience in AWS from an architecture and cost perspective.
• 2+ years of experience in building high-performance engineering teams and delivering great software.
• 2+ years of recent experience in managing software development teams with full responsibility for software releases, processes, and people management.
• Exceptionally well-organized individual with great listening, communication, and presentation skills
• Strong analytical and problem-solving skills.

Key Responsibilities:

1.Ownership  - Must have trait 

• Provide leadership, guidance, and support to engineers, fostering their professional growth and ensuring a positive work environment.

2. Technology:

• Identify key system components, interfaces, and dependencies and prepare high level overview / documentation
• Participate in designing scalable systems and provide inputs to handle scalability, data volume, concurrency and system bottlenecks. 
• Review code and ensure adherence to coding standards, best practices, and quality guidelines. 
• Implement and maintain robust testing processes to ensure the reliability and scalability of the services and the applications.
• Work on bench-marking different technology options with underlying use cases to make the right architectural decisions.
• Perform intermittent code reviews to ensure high production code quality.
• Set up best practices for development and champion their adoption.
• Closely work with team to ensure timely, bug-free releases
• Create RCA documentation and prevent the issues in future
• Arrange for retrospective calls to discuss learnings from the completed sprint

3.Management:

• Work closely with product managers and stakeholders to understand the product roadmap and plan the resources. 
• Strong experience with Build and Release, Agile processes, and Estimation/Planning
• Set up best practices and identify areas of continuous improvement of the product development life cycle.
• Should be able to manage the resources including creating POD charters for reutilizing the resources efficiently to improve the velocity and stability of the deliverables.
• Identify and mitigate risks in the deliverables.
• Managing the engineering team and taking care of their performance evaluations.
• Perform regular 1:1 meetings and share & seek feedback
• Work on measures to optimize team productivity and engineers' professional development
• Clear communication and 100% visibility of project status to all stakeholders

Why This Role Might Be For You

• You want to lead an engineering team in a high-ownership environment where you’re responsible for driving projects from concept to delivery.
• You’re excited by the opportunity to influence architecture, tooling, and engineering best practices across teams.
• You care deeply about building scalable, reliable, and maintainable systems while promoting a culture of quality, testing, and clean code.
• You enjoy partnering with product, design, and other stakeholders to deliver customer-centric solutions that solve real problems.
• You want to mentor and grow engineering talent while helping shape the technical direction and culture of a fast-paced, impact-driven organization.