Job Summary:

We are looking for a Senior Software Engineer to build production-level reference architecture applications.The ideal candidate will be skilled in building back-end applications in AWS using Java, Springboot, Kubernetes, Kafka, Mongo, understands API and microservice concepts, built DR capabilities, and has utilized AI in generating code and tests. On the front-end, knowledge of Angular and Micro-Frontend approaches are ideal.

Qualifications:

• 5+ years of experience designing and implementing technological solutions using Java and SpringBoot within cloud environments
• Proficiency in Frontend WebApp development building SPA applications in Angular and deploying via AWS CloudFront
• Experience building sync/async/batch back-end microservices.
• Expertise in using AWS services like CloudFront, S3, SQS, Secrets Manager, KMS, API Gateway, IAM, EKS, ECS
• Proficient at debugging full-stack issues including AWS cloud network, access or configuration issues
• Kubernetes expertise running and debugging and optionally in admin/setup of clusters.
• 1+ years Mongo/Atlas experience
• Experience using Kafka
• Experience in designing, building and documenting APIs (i.e. OpenAPI) and building REST and/or GraphQL endpoints and using API Gateways
• Experienced with DR site fail-over, turn-away concepts and DR testing
• Proficiency using AI to generate code, unit test/code coverage and API tests
• Quality engineering experience running API, performance and scalability tests
• Experienced working within Agile SDLC environments (Kanban or Scrum)

Knowledge, Skills, and Abilities

• Good communication skills and collaborates well
• Responsible and trusted employee that raises questions and concerns early and often.
• Comfortable working in an Agile fast-paced environment
• Self-motivated and self-sufficient and is willing to learn and work in environment with only directional guidance and minor hand-holding Strong project management skills, with experience delivering complex automation initiatives.

The Opportunity

The Monetization Team powers Postman pricing & packaging, and scales its business.

We build and operate mission-critical billing systems that handle:

• Payments & renewals
• Subscription lifecycle
• Sales, tax & compliance
• Revenue systems
• Post Purchase product onboarding 

As Postman grows, we are evolving towards a config-driven, highly scalable platform that supports both self-serve and sales-led motions globally.

We’re looking for a Front End Senior Engineer who can lead the development of the user-facing platform, driving technical excellence in UI architecture and product innovation in the monetization experience.

What You'll Do

• Build & Optimize Monetization Experiences
  Design, develop, and own the user interfaces for key monetization flows, including checkout, subscription management, and pricing pages.
• Drive UI Architecture and Performance
  Establish and enforce best practices for front-end architecture, ensuring high performance, scalability, and maintainability across all user-facing features.
• Implement Config-Driven UIs
  Develop reusable UI components and systems to dynamically render pricing, packaging, and configuration settings driven by backend services.
• Enhance Admin and Sales Workflows
  Build and improve internal-facing applications (Admin UIs) to enable sales, finance, and support teams to manage custom contracts, discounts, and user subscriptions efficiently
• Collaborate Cross-Functionally
  Partner with Product, Design, Support, Security, and Platform teams to deliver impactful solutions and ensure a consistent user experience.
• Raise the Engineering Bar
  Conduct thorough code reviews, define front-end best practices, mentor engineers, and influence decisions on UI technology stack and tooling.

About You

• 6+ years of experience designing and building complex, high-traffic web applications.
• Strong proficiency in:
• Modern JavaScript/TypeScript and one or more leading front-end frameworks (e.g., React, Node.js, Angular).
• Advanced state management techniques and architectural patterns for large-scale single-page applications (SPAs).
• Deep expertise in:
• Front-end performance optimization (e.g., bundle size, critical rendering path, load times).
• Cross-browser compatibility and accessibility (WCAG standards).
• Integrating and consuming RESTful and/or GraphQL APIs efficiently.
• Hands-on experience with:
• Unit, Integration, and End-to-End testing frameworks
• Bundling and building tools.
• CI/CD pipelines for front-end deployments.
• Proven track record of:
• Translating complex design mockups into high-fidelity, responsive user interfaces.
• Leading technical design and implementation of major front-end features.
• Strong collaboration skills, comfortable working with and challenging PMs, EMs, and stakeholders.
• (Bonus) Experience with A/B testing frameworks and deep understanding of user experience principles in high-stakes transaction flows (e.g., checkout, billing portals)

Introduction:

Are you searching for an opportunity to play a key role in driving the dramatic growth of a highly successful software company? 

At Poppulo, we’re working on what’s next in communications and workplace technology. As a pioneer in this industry, we understand that meaningfully reaching every employee is hard. And so is managing office space in a hybrid world. And so is improving the customer and guest experience. We exist to make each of these things easier. We exist to bring harmony to our customers. 

And we do that at enterprise scale. Our omnichannel employee communications, customer communications, and workplace experience platform is trusted by over 6,000 organizations today, reaching more than 35M employees and delivering content to 500,000+ digital signs.

We know there’s no such thing as a “perfect" candidate - we’re all a work in progress and are growing new skills and capabilities all the time. We encourage you to apply for a position with Poppulo even if you don’t meet 100% of the requirements. We believe in fostering an environment where there is a diversity of perspectives, in hopes that we can all thrive. 

Job Summary 

We are looking for a Principal Software Engineer to drive technical excellence and scalability across our SaaS Employee Communications platform.

In this role, you will act as a hands-on technical leader, designing and delivering complex features, improving system performance and reliability, and mentoring engineers across the team. This position bridges Senior Engineers and Software Architects, translating architectural vision into robust, maintainable implementations while influencing architectural evolution through strong technical judgment and execution.

The ideal candidate brings deep SaaS expertise, hands-on experience with AWS managed & serverless technologies and a solid understanding of distributed system design.

Key Responsibilities 

• Lead the design and development of complex, high-impact systems and services.
• Translate architectural blueprints into scalable, production-grade solutions.
• Design and implement microservices and APIs with a strong focus on scalability, observability, and reliability.
• Own major features or components end-to-end, including performance optimization, resilience, and cost efficiency.
• Mentor senior and mid-level engineers, conduct code reviews, and uphold best practices in coding, design, testing, and CI/CD.
• Collaborate closely with Architects, Product Managers, and DevOps to ensure architectural alignment and high-quality delivery.
• Build and optimize services using AWS serverless, event-driven, and container-based technologies (Lambda, ECS, SNS, SQS, DynamoDB, EventBridge, RDS).
• Ensure systems adhere to authentication, authorization, and compliance standards (OAuth2, OIDC, RBAC).
• Identify opportunities to improve system performance, scalability, and developer productivity.
• Advocate for continuous learning, experimentation, and innovation within the engineering organization.
• Maintain accountability for coding standards, engineering processes, and technical excellence.
• Use metrics and analytics to anticipate future engineering and scalability needs.
• Ensure compliance with data protection and privacy requirements, including GDPR, HIPAA, and PII best practices.
• Proactively identify and address technical debt and long-term improvement opportunities.

 Education & Experience 

• 8+ years of software development experience with demonstrated technical leadership in complex, distributed systems.
• Demonstrated strong hands-on experience in Java, with expertise in Spring Boot, concurrency, multi-threading, and RESTful service development.
• Proven experience with modern front-end frameworks such as React or Angular is mandatory for this full-stack role.
  
• Exposure to Node.js and TypeScript, including asynchronous programming and modular architecture is nice to have.
• Proven understanding of distributed systems, multi-tenancy, RBAC, and SaaS security principles.
• Hands-on experience with microservices architecture, Docker, Kubernetes, and AWS.
• Experience with observability best practices, including metrics, logging, tracing, and alerting.
• Strong knowledge of event-driven systems (Kafka, SNS/SQS, EventBridge, Kinesis).
• Experience with GraphQL federation and implementation.
• Experience with CI/CD pipelines, Git-based workflows, and automated testing (JUnit, Jest, Playwright, etc.).
• Proven ability to design scalable, high-performance, fault-tolerant systems in multi-tenant SaaS environments.
• Familiarity with GDPR and data privacy standards is a plus.
• Experience with infrastructure-as-code tools (Terraform, CDK) and modern observability stacks.
• Excellent communication skills and the ability to collaborate effectively with both technical and non-technical stakeholders.
• Passion for continuous learning and a strong commitment to engineering excellence.
• Comfortable leading by example and driving best practices across teams.

Who We Are

• We are a values-driven organization that encourages our employees to bring their authentic selves to work every day and empowers everyone to make a tangible impact on our products, clients, and culture. We offer a dynamic environment with driven, fun, and flexible individuals who thrive on challenge and responsibility. This is an opportunity to contribute to our culture and join a company that’s on the move.
• We live the Poppulo values each day, as they are key to everything we do.

Bring Your Best Self
We show up authentically, are self-aware and always strive to be better.

• See it. Own it. Solve it.
  We proactively innovate and solve for our customers and each other. We set an example with high standards for our work. We foster a culture of learning, acknowledging our successes and our failures.
• Together We’re Better
  We value and celebrate our diversity. We learn from others, respecting their expertise, and focus on building trust. That's what makes us a team.
• Named a Great Place to Work in 2015, 2016, 2017, 2018, 2019, 2020, and 2021, we are a fast-growing global technology company, with offices in Ireland, the US, and the UK.
• Poppulo is an equal opportunity employer.
• Named a Great Place to Work in 2015, 2016, 2017, 2018, 2019, 2020, and 2021, we are a fast-growing global technology company, with offices in Ireland, the US, and the UK.
  Poppulo is an equal opportunity employer.

We are committed to protecting your privacy. For details on how we collect, use, and protect your personal information, please refer to our Job Applicant Privacy Policy. 

Who we are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career.

About the Organization 

Our mission is to enable effective financial decisions through reliable data, increased efficiency and automation. We support Marketing, Sales, Seller, Accounting, Tax, Finance & Strategy (F&S), Finance Operations (FinOps) and Treasury functions across Automation, Data insights and process improvements.

You may work on a wide variety of critical business areas including: 

Seller Systems: Responsible for building the systems and tooling that make Stripe’s sellers and internal revenue teams dramatically more productive and effective. We partner with Sales, Finance, Legal, and Product to deliver a single “plane of glass” selling experience that spans deal creation and modeling, negotiation and approvals, contracting, onboarding, and activation. The Seller Systems team composes first‑party, custom Stripe components with best‑in‑class third‑party business systems to deliver configurable, auditable, and globally scalable workflows. Engineers on Seller Systems build services, APIs, integrations, data pipelines, and internal UIs that power seller productivity, reduce time‑to‑activation, improve deal velocity, and enable AI‑driven assistive workflows. Use cases include deal modeling and pricing engines, approval and orchestration platforms, CLM/CPQ integrations, onboarding automation, seller analytics, and AI‑assisted seller tooling.

Finance Engineering: Responsible for building the robust and scalable infrastructure that powers the company's core financial operations, including payments processing, fund settlement, accounting, and business intelligence. The Finance Engineering team is at the core of Stripe to empower mission-critical financial domains including Accounting, Finance operations, Finance & Strategy, and Treasury. Engineers on the Financial Engineering team build platforms, data pipelines, and financial products for the Finance team. The use cases include financial analytics and insights, accounting automation, auditing, financial planning & forecasting, and financial business intelligence. 

Marketing/Sales Systems: Responsible for building the most measurable, cross-channel messaging capability possible, to attract and engage customers. We will do this through scalable motions, with the most relevant messaging and increasing reach of our marketing motions. We are a cross functional team of engineers, analysts, marketers, and product managers that deliver the insights, internal systems and tools that fuel Stripe’s growth. 

As part of the Marketing Systems team, you will own systems that power go-to-market motions productizing gathered insights and intelligence. This includes building tools that 1/ power better digital experiences, 2/ accelerate customer journey with intelligent orchestrations 3/ drive smarter decisions with CDP 4/ improve marketer and seller productivity.

What you’ll do

We’re looking for Software Engineers who want to make an impact on managing money at a global scale with a passion for building ergonomic APIs. You’ll play a key role in extending our balance management platform and in building out a new funds accessibility platform leveraged by enterprises and SMBs alike. Our team collaborates with many cross-functional teams – from Infrastructure to Product –  at Stripe to deliver innovative solutions that address evolving user needs.

Responsibilities

• Design, build, and maintain beautiful, robust, and high-performance APIs and services
• Ensure our infrastructure is extensible, scalable, reliable, and meets SLAs for both external and internal users
• Hide complexity from our users behind simple yet powerful abstractions
• Partner closely with other engineers, analysts and scientists to build highly scalable system(s), to deliver delightful developer experiences and comprehensive interfaces
• Build the APIs that power internal stakeholder facing UI experiences, defining composable data models and durable interfaces.
• Debug production issues across services and multiple levels of the stack with an eye towards improving maintainability over the long term.
• Improve engineering standards, tooling, and processes.

Who you are

We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Minimum requirements

• 7-12 years of experience designing, implementing, and operating large-scale, high-performance APIs and services 
• You have implemented server-side APIs in dynamic languages like Ruby, working with document and relational datastores (especially Mongo and MySQL).
• You enjoy spelunking through new datasets (especially in systems like Redshift or Presto/Trino).
• Empathetic, collaborative, and user-first mindset in everything you build
• Experience proactively seeking feedback from users, teammates, and subject matter experts
• The skills to build holistically – from specs and documentation to implementation, testing, deployment, and measuring impact
• The ability to balance speed, complexity, and scope in service of user needs
• You have excellent oral and written communication.

Preferred Qualifications

• Experience with large-scale financial tracking systems
• Good understanding and practical knowledge in cloud based services (e.g. gRPC, GraphQL, Docker/Kubernetes, cloud services such as AWS, etc.) 
• Experience in marketing domain building products that contribute to marketing tech stack.
• Experience with machine learning, recommender systems, product-led growth, and/or lifecycle marketing.
• Prior experience building distributed systems or a microservices architecture

Your Role

We’re looking for an Engineering Manager to join our first product teams in Mumbai. You’ll be improving the operations of our internal team of sports analysts across Hudl Assist, Wyscout, InStat and Volleymetrics products. These products are used by thousands of teams around the world, from youth clubs to the pros. 

Example projects might include:

• Improving the tools used to deliver training to sports analysts
• Instrumenting our processes to facilitate continuous improvement for our operations team
• Iterating on manual data collection workflows to improve speed and accuracy
• Automating workflows using AI/ML, reducing manual effort, and improving scalability of our data pipelines

As an Engineering Manager, you’ll

• Be responsible for a diverse team. You’ll support your Engineers as they develop, test and maintain technical solutions. You’ll be a working manager, expected to balance management responsibilities with code contributions to ensure the team meets its commitments and delivers business impact.
• Work with a cross-functional team. You’ll collaborate with Engineering, Quality Assurance, Product, Design and Scrum disciplines to deliver product improvements for our customers. With our global team, these team members and stakeholders are located all over the world—so you may need to work evenings occasionally.
• Help improve analysis. You’ll work to improve training tools, processes and manual data collection workflows used by our sports analysts to improve their speed and accuracy.
• Automation & AI/ML. You’ll also play a key role in evolving our workflows through automation and AI/ML, helping reduce manual effort and improve scalability across our operations"

This role requires 4 days in the office per week, so we're currently considering candidates who live within a commuting distance of our offices in Mumbai.

Must-Haves

• Formal management experience. You have multiple years of experience managing Software Engineers and know how to guide teams to deliver business impact. You’ve taken the lead on tackling ambiguous technical challenges, proposing solutions to upcoming problems, and providing technical input on others’ work.
• Experience in mature, full-stack web applications. You’ve spent several years in a role, or roles, that had you building across all levels of a web application, from the client-side code, all the way down to the database. You have a professional background in TypeScript, React, GraphQL, C#, Java, PHP, MongoDB, MySQL and/or AWS
• English language proficiency. You have strong verbal and written communication skills. 
• Flexible schedule. We strive to maintain a healthy work-life balance, but in this role, it’s necessary to overlap your schedule with stakeholders and collaborators across time zones.

 Nice-to-Haves

• Experience working with AI/ML systems, particularly in applying models to automate workflows or process large datasets

Our Role

• Champion work-life harmony. We'll give you the flexibility you need in your work life (e.g., national and public holidays and timeout (meeting-free) days) so you can enjoy your personal life too.
• Guarantee autonomy. We have an open, honest culture and we trust our people from day one. Your team will support you, but you'll own your work and have the agency to try new ideas.
• Encourage career growth. We're lifelong learners who encourage professional development. We'll give you tons of resources and opportunities to keep growing.
• Provide an environment to help you succeed. We've invested in our offices, designing incredible spaces with our employees in mind. We'll also provide you the tech stack and hardware to do your best work.
• Cover your medical insurance. Comprehensive medical insurance for employees, with partial reimbursement available for dependent coverage.
• Retiral benefits. We offer a Provident Fund and Gratuity.

Role

We are looking for a Staff Software Engineer to join our Engineering team in a hybrid capacity in Bangalore, reporting to the Senior Director, Software Engineering. You will join the team that built the world’s largest cloud security platform from the ground up. Bring your vision and passion to our team of cloud architects and software engineers who are enabling organizations worldwide to harness speed and agility with a cloud-first strategy.

What you’ll do (Role Expectations)

• Lead the engineering effort for the development and maintenance of the Zscaler Zero-Trust Cloud User Interface

• Work closely with the UI design team to implement intuitive and accessible user interfaces, leveraging UX best practices and a component library

• Collaborate with the product team to define and implement functional requirements that align with business goals

• Develop high-quality, maintainable code with thorough unit and end-to-end (E2E) tests using frameworks such as Jest, Cypress, or Playwright

• Advocate for UI platform priorities, ensuring alignment with long-term architectural goals and business needs

Who You Are (Success Profile)

• You thrive in ambiguity. You're comfortable building the path as you walk it. You thrive in a dynamic environment, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful

• You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution

• You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact

• You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback—knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust

• You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose

What We’re Looking for (Minimum Qualifications)

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

• 6+ years of professional experience as a front-end engineer, with at least 5 years of experience specifically in React

• Extensive experience with JavaScript and developing UI components using React

• Strong understanding of UI/UX design principles and implementing efficient, scalable GraphQL and REST APIs

• Proven ability to address key UI concerns such as scalability, performance, and security to maintain a high-quality user experience

What Will Make You Stand Out (Preferred Qualifications)

• Strong understanding of front-end build tools, package managers, monorepos, and version control systems such as Nx, npm, and Git

• Familiarity with containerization and Kubernetes

• Understanding of AWS services including Cloudfront, EC2, and S3 and their application in secure, scalable, and highly available UI deployments

#LI-Hybrid #LI-GL2

Role

We’re looking for a Full Stack Software Engineer to join our team. This role is based in Bangalore, India, reporting to the Sr. Manager of Software Engineering within the Risk360 department You will join the team that built the world’s largest cloud security platform from the ground up to help organizations worldwide harness speed and agility with a cloud-first strategy. In this role, you will be a key contributor to our multitenant architecture, enabling the delivery of innovative services to over 15 million users across 185 countries.

What you’ll do (Role Expectations)

• Develop product features related to data transformations, enrichment, analytics, and user-facing dashboards
• Design and implement intuitive, performant web applications using ReactJS for data visualization and user interaction
• Build and maintain data processing pipelines to handle data ingestion, transformation, and analysis for risk quantification
• Establish monitoring mechanisms to track data platform performance and health while defining maintenance procedures
• Collaborate closely with UX/UI designers and backend engineers to deliver seamless end-to-end solutions

Who You Are (Success Profile)

• You thrive in ambiguity. You're comfortable building the path as you walk it. You thrive in a dynamic environment, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful.
• You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution.
• You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact.
• You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback—knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust.
• You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose.

What We’re Looking for (Minimum Qualifications)

• 3+ years of experience in software development for enterprise solutions, including web-based applications
• 1+ years of experience in ReactJS or similar modern JavaScript frameworks, including component-based architecture and state management
• Solid experience in Core Java, Concurrency, Distributed Computing, and proficiency in SQL
• Exposure to Test Driven Development (TDD) using frameworks such as JUnit, REST Assured, TestNG, or Jest
• Experience with HTML5, CSS3, JavaScript/ES6+, and building responsive interfaces

What Will Make You Stand Out (Preferred Qualifications)

• Experience developing scalable web applications handling large datasets efficiently and working knowledge of GraphQL
• Expertise in state management frameworks like Redux and performance optimization including tuning JVM
• Understanding of security compliance frameworks, statistics, and machine learning

#LI-Hybrid #LI-AN4

BitGo is looking for a Frontend Engineer - E3 who will join our team in India

Responsibilities:

• Collaborate closely with design and product managers to plan and develop new UIs for upcoming initiatives
• Improve existing UI functionality on a variety of products
• Build reusable code for future use
• Cross-team communications with stakeholders to understand implementation requirements and limitations
• Provide mentorship to peers in the broader engineering team through code reviews and promoting best practices
• Provide maintenance support and enhance performance to existing applications
  
  

Skills & Experience: 

We are looking for teammates who share and practice our values: open communication, transparency, taking ownership, and a high level of craftsmanship. 

Required:

• At least 5+ years of frontend software engineering experience
• Strong experience with React/NextJS and keep up to date with the latest frontend developments
• Advanced knowledge of JavaScript, CSS and HTML
• Experience working with Node.js and Express applications
• A keen eye for detail and for providing an excellent user experience
• Experience with unit, Integration and end-to-end testing
• Ability to work independently in a fast-paced environment
• Demonstrated ability to write clean, maintainable and well structured code

Nice to have:

• Understanding of and strong interest in cryptocurrencies and blockchain
• Experience working with GraphQL/Apollo Client
• Experience with NextJS
• Experience working with design systems

Why Join BitGo?

Disrupting an industry takes vision, innovation, passion, technical chops, drive to deliver, collaboration, and execution. Join a team of great people who strive for excellence and personify our corporate values of ownership, craftsmanship, and open communication. We are looking for new colleagues who bring innovative ways of thinking and problem solving, and who want risks to be part of the team that changes the world’s financial markets.

Here are some of the benefits of working at BitGo:

• Competitive salary
• IT equipment support for work
• Meal & Commute allowance
• Medical Insurance
• Attractive Well-being allowance (comprises of medical, wellness and fitness aspects)
• Snacks: on-the-house in the Bangalore office
• Great/Talented workforce to learn and grow with

Note: This role requires working onsite (Monday to Friday) at the Bangalore office.

Cryptocurrencies are the most disruptive change the financial services industry has seen in years. Join us and you'll be able to look back and say you were part of the team that transformed investing.

What we want to accomplish and why we need you

Suki is a leading technology company that provides AI voice solutions for healthcare. Its mission is to reimagine the healthcare technology stack, making it invisible and assistive to lift the administrative burden from clinicians. Its flagship product is Suki Assistant, an AI assistant that uses generative AI to automatically create clinical documentation by ambiently listening to patient-clinician conversations. Suki helps clinicians complete notes 72% faster on average, assists with other tasks including coding and answering questions, and generates incremental revenue for organizations, delivering a 9X ROI in year 1. Suki also offers its proprietary AI and speech platform, Suki Platform, to partners who want to create best-in-class ambient and voice experiences for their solutions. Clinicians that use Suki already spend over 70% less time on administrative tasks, and we’re striving to do even better. Come and join us! 

We are a user-driven company and are committed to making sure every pixel of our product is in service of the doctors. We’re a team of technologists, clinicians, and industry experts working together to push the limits on technology used in medicine. We’re confident enough to move fast and talented enough not to break things.

Our tech stack includes GCP, Kubernetes, Golang, Python, React, C++, TypeScript, JavaScript, Swift, Kotlin, gRPC, and GraphQL.

What will you do everyday?

You’ll create engaging product experiences on iOS/Android and services that delight and empower doctors with experiences that they could never imagine with their health IT systems.  You have an equal grasp of iOS and Android native development expertise in Swift/Objective-C/Kotlin/Java. You will work with the product, design and operations team to build the best product and support it. You will be DevOps friendly and you will write, test and deploy your own code.  While you know how to work hard, you also know how to have fun at work, make friends with your colleagues and contribute to our diverse and inclusive culture.  You will also contribute to making doctors’ lives better by reducing the administrative burden they face every day. You will be hungry to contribute and make a difference in the product quality.

Ok, you're sold, but what are we looking for in the perfect candidate?

• Expertise: you know how to code.  You understand our tech stack and can be productive with it. In other words, you’ve done this before.
• Action oriented: You love to build.  You know that perfect is the enemy of the good – you like to ship fast and quickly iterate.
• Creativity: You enjoy listening to user feedback and then building product in novel ways. You’re resourceful and enjoy finding alternate paths to success.
• Problem solving: you use data to help point you in the correct direction.  You optimize relentlessly.  You think business and engineering problems are like puzzles and you stick with them until they are solved.
• Humility: You’re humble and love working in a team without ego to deliver products
• Adaptability:  You thrive in a fast-moving organization that uses light-weight process and cutting-edge technology to have a huge impact.
• Confidence: You trust your abilities and you’re ready to push yourself to the next level.

Qualifications*

• 5 to 8 years of work experience
• Proficiency using Android SDK 
• Kotlin experience is a must. Swift is a plus.
• Experience with Android frameworks such as Jetpack compose
• Must have experience with testing tools like JUnit etc.
• Familiarity with RESTful APIs and third-party libraries (e.g., Retrofit, OkHttp, etc.).
• Experience building and shipping apps to Google Play store
• Must have at least 1+ apps on listed in Play store
• Experience in working with large scale distributed applications
• DevOps experience is a plus as well
• Any formal degree is preferred, but not necessary
• Strong grasp of CS fundamentals including algorithms, data structures and design is preferred
• Bachelors/Masters degree from a Tier 1 college or university

* We don’t necessarily expect to find a candidate that has done everything listed, but you should be able to make a credible case that you’ve done most of it and are ready for the challenge of adding some new things to your resume.

Tell me more about Suki

• On a roll: Named by Fast Company as one of the most innovative companies, named Google’s Partner of the Year for AI/ML, named by Forbes as one of the top 50 companies in AI .
• Great team: Founded, managed, and backed by successful tech veterans from Google and Apple and medical leaders from UCSF and Stanford. We have technologists and doctors working side-by-side to solve complex problems.
• Great investors: We’re backed by Venrock, First Round Capital, Flare Capital, March Capital, Hedosophia and others. With our $165M raised so far, we have the resources to scale.
• Huge market: Disrupting a massive, growing $30+ billion market for transcription, dictation, and order-entry solutions. Our vision is to become the voice user interface for healthcare, relieving the administrative burden on doctors instead of adding to it.
• Great customers: Our solutions are used in health systems and clinics across the country, supporting clinicians across dozens of specialties.  Check out what one of our users says about how Suki has helped his practice.
• Impact: You’ll make an impact from day one. You’ll join a team working towards a shared purpose with a culture built upon deep empathy for doctors and passion for making their lives better. 

Suki is an Equal Opportunity Employer. We are dedicated to building a company that fosters inclusion and belonging and reflects the diverse communities we serve across the country. We know we are stronger this way, and we look forward to growing our team with these shared values.

Why This Role Matters 

This role powers Tekion’s AI‑native, end‑to‑end automotive platform by turning unified dealership data across DMS, CRM, Digital Retail, Service, and Payments into real‑time intelligence. You’ll operationalize a graph‑based contextual ecosystem so agents can retrieve the right context, enforce policy, and personalize experiences that drive measurable dealer outcomes. You’ll also build the resilient control layer - MCP and the LLM Gateway - that enables safe, cost‑efficient, multi‑provider LLM usage. Finally, you’ll define the standards for building, evaluating, deploying, and governing agentic systems so product teams can ship AI features quickly, safely, and at scale. In addition to enabling agentic systems powered by LLMs, this role also drives building the platform for classical ML models driving optimization across dealership operations.  

What Makes This Opportunity Unique 

This role offers direct, measurable impact on dealer outcomes and consumer experiences across Tekion’s Automotive Retail Cloud and Automotive Enterprise Cloud, with end‑to‑end ownership of an LLM control plane and gateway that serve multi‑tenant workloads under SLAs and, quality and cost guardrails. You’ll leverage a rich vertical dataset and domain graph spanning sales, service, parts, F&I, accounting, and consumer touchpoints to power context‑aware agents and retrieval‑augmented generation. You’ll also shape core levers - agent orchestration patterns, evaluation frameworks, and safety guardrails - so improvements in latency, reliability, evaluation quality, and safety translate into dealer KPIs like upsell, cycle time, CSAT, and service revenue.  You’ll also maintain and enhance the platform to support classical supervised and unsupervised ML models . 

Responsibilities 

• Build and run the LLM control plane/gateway: smart routing, rate limits/quotas, failover, and token/cost tracking. 

• Ship a unified API and SDKs (REST/gRPC) with normalized schemas, structured outputs, caching, and full observability (traces/logs/metrics). 

• Enforce safety and privacy by default: content filtering, prompt/response validation, and PII redaction. 

• Enable multi‑model, multi‑vendor use LLMs with automated canarying and versioning. 

• Own the agent runtime: tool registry, permissions, function calling, grounding, and retrieval. 

• Design orchestration patterns (sequential, planner‑executor, streaming) and manage agent state and long‑running workflows. 

• Enabling platform components for training and scoring pipelines for classical ML (e.g., XGBoost/LightGBM/linear/trees) and deep models; standardize experiment tracking and packaging. 

• Create components to Monitor model and data drift, retraining and tuning models as needed to maintain accuracy and relevance. 

• Add human‑in‑the‑loop review and safe‑actioning before agents touch dealer systems. 

• Evolve the domain graph and entity resolution; build reliable data ingestion pipelines. 

• Serve real‑time context to agents (profiles, inventory, pricing, appointments, service history) with access controls and lineage. 

• Power retrieval with hybrid search (graph + vector + keyword) and smart cache/TTL to balance accuracy, latency, and cost. 

• Run continuous offline/online evaluations for quality, factuality, bias, and safety for the platform sanity. 

• Define SLOs for latency (p50/p95), uptime, and cost view capabilities; enable autoscaling and spend controls. 

• Maintain a model/agent registry, versioning, approvals, audit trails, and reproducibility; support compliances where needed. 

• Provide templates/CLIs, sandboxes, and docs so product teams can build and ship fast; mentor engineers and champion MLOps and AI safety best practices. 

Desired Skills & Experience 

• 12–15+ years building large‑scale data/ML or platform systems; strong software engineering fundamentals (Abstracted API design, concurrency, distributed systems). 

• Production experience with Python plus one of Java/Scala/Go; microservices and API design. 

• MLOps at scale: pipelines (Airflow/Kubeflow), tracking/registry (MLflow), CI/CD for models, A/B testing, shadow/canary, and online feature computation (Spark/Flink/Kafka). 

• Cloud and containers: AWS (preferred), plus Docker/Kubernetes; performance, reliability, and cost engineering in multi‑tenant SaaS. 

• Practical ML knowledge (feature engineering, training, evaluation, drift detection); experience deploying models that power user‑facing workflows. 

• Built or operated an LLM gateway/control plane: provider adapters, routing/policies, caching, quota/rate‑limit, cost and token accounting. 

• Agentic systems: tool use/function calling, orchestration frameworks, human‑in‑the‑loop, safety/guardrails, and online evaluation/telemetry. 

• Graph and retrieval: knowledge graphs (e.g., Neo4j/Neptune/TigerGraph), GraphQL, vector search (e.g., pgvector/Qdrant/Milvus), hybrid retrieval patterns. 

Preferred Mindset 

• Platform‑as‑product: obsess over developer experience, paved roads, and clear SLAs. 

• Thinks in systems - observability, fallback, access control are core, not afterthoughts. 

• Passionate about AI - enjoys enabling real-world LLM and agentic use cases. 

• Cost‑aware builder: you treat latency and dollars as first‑class metrics and design for graceful degradation. 

• Vendor‑agnostic thinker: choose the right model/provider per use case; build for portability and resilience. 

• Documentation and teaching: you make complex systems understandable; you uplevel teams. 

Opportunity Overview:

We are seeking an experienced and visionary Architecture Director to join our team. This role is ideal for a technical leader who excels in designing and scaling platform level architectures in healthcare and regulated environments. As a senior member of the architecture team, you will guide the evolution of our cloud-native, AI enabled platforms to support long term scalability, interoperability, and innovation.

What you’ll do:

• Platform & Systems Architecture : Define the strategic architectural roadmap for core platform services, enabling product teams to build with scalability, reliability, and performance in mind.
• Technical Leadership : Provide senior level architectural direction, code level guidance, and deep reviews for platform components. Mentor engineering leads on architectural trade offs and promotes technical excellence through documentation, design reviews, and knowledge sharing.
• Security & Compliance : Embed regulatory compliance (HIPAA, FHIR, HL7) and security principles into platform design. Lead threat modeling and support platform wide audit, logging, and privacy initiatives.
• Collaboration & Influence : Work closely with other  architects and product leaders to align offshore platform development with global product strategy.

Required Qualifications:

• 10+ years of progressive experience in software engineering and architecture, including senior level platform design in cloud-native environments.
• Proven track record designing distributed, event-driven systems with technologies like Kafka, microservices, and REST/GraphQL APIs.
• Deep expertise in AWS cloud architecture, with hands-on experience deploying containerized apps (ECS, Fargate, EKS) and IaC (Terraform/CDK).
• Excellent communication skills and the ability to work cross functionally across geographies and time zones.

Ability to commute/relocate:

• Hyderabad, Telangana*: Reliably commute or planning to relocate before starting work (Preferred)
  
  

Interview Process*:

1. Connect with the Hiring Manager for a Preliminary Phone Screening
2. Behavioral Interview(s)
3. Case Study
4. Interview with Senior Leadership

*Subject to change

About ZignaAI, a Cohere Health Company:

Cohere Health’s clinical intelligence platform delivers AI-powered solutions that streamline access to quality care by improving payer-provider collaboration, cost containment, and healthcare economics. Cohere Health works with over 660,000 providers and handles over 12 million prior authorization requests annually. Its responsible AI auto-approves up to 90% of requests for millions of health plan members.

With the acquisition of ZignaAI, we’ve further enhanced our platform by launching our Payment Integrity Suite, anchored by Cohere Validate™, an AI-driven clinical and coding validation solution that operates in near real-time. By unifying pre-service authorization data with post-service claims validation, we’re creating a transparent healthcare ecosystem that reduces waste, improves payer-provider collaboration and patient outcomes, and ensures providers are paid promptly and accurately.

Cohere Health’s innovations continue to receive industry wide recognition. We’ve been named to the 2025 Inc. 5000 list and in the Gartner® Hype Cycle™ for U.S. Healthcare Payers (2022-2025), and ranked as a Top 5 LinkedIn™ Startup for 2023 & 2024. Backed by leading investors such as Deerfield Management, Define Ventures, Flare Capital Partners, Longitude Capital, and Polaris Partners, Cohere Health drives more transparent, streamlined healthcare processes, helping patients receive faster, more appropriate care and higher-quality outcomes.

The Coherenauts, as we call ourselves, who succeed here are empathetic teammates who are candid, kind, caring, and embody our core values and principles. We believe that diverse, inclusive teams make the most impactful work. Cohere is deeply invested in ensuring that we have a supportive, growth-oriented environment that works for everyone.

We can’t wait to learn more about you and meet you at ZignaAI, a Cohere Health company!

Equal Opportunity Statement: 

Cohere Health is an Equal Opportunity Employer. We are committed to fostering an environment of mutual respect where equal employment opportunities are available to all.  To us, it’s personal.

Job Title: Full stack developer - Bangalore and Gurgaon

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, Pune, Gurugram

Experience - 5 to 8 Years

Skills and Qualifications:

About the Job: Mobile Application & Web Developer Detail-oriented and innovative Mobile Application & Light Web Developer with extensive experience building, optimizing, and supporting cross-platform native and hybrid apps and light web solutions. Proven ability to leverage modern frameworks for intuitive user experiences, integrate with critical APIs and backend services, and collaborate within agile teams. Passionate about delivering secure, customer-focused mobile and web experiences. Skills & Technologies

• Mobile: React, Angular, Ionic, Capacitor, Cordova, Typescript/JavaScript • (Swift (iOS), Kotlin (Android)) • Web: React, Angular, TypeScript, JavaScript (ES6+), Material UI, Redux • Testing & CI/CD: Jest, Jasmine, Karma, CodeMagic, AppFlow, GitLab Pipeline • Cloud & APIs: Firebase, AWS, RESTful APIs, GraphQL, MongoDB, SQL, Redis • Other: CSS3, SASS, HTML5, PWA, Offline-first/Local Storage, UI/UX Design • Workflow: Agile/Scrum, Remote collaboration, Unit testing, Code reviews

Technical Proficiencies Category || Technologies / Tools Mobile Dev || React, Ionic, Capacitor, Cordova, Swift, Kotlin Web Dev || React, Angular, TypeScript, UI Libraries (Material, Tailwind) APIs/Cloud || RESTful APIs, GraphQL, Firebase, AWS Testing/CI || Jest, Jasmine, GitHub Actions

If you are keen to join us, you will be part of an organization that values your contributions, recognizes your potential, and provides ample opportunities for growth. For more information, visit www.capco.com. Follow us on Twitter, Facebook, LinkedIn, and YouTube.

Come join our Engineering team

Our Software Engineering team is dedicated to building the world’s most predictive, inclusive, and fair interviewing products for our clients and technical candidates alike.

What you will do

As a Software Engineer (SWE3) at Karat, you'll build product features that directly improve how engineers are interviewed and hired. You'll take full ownership of projects within your team's scope, driving them from design through implementation, while collaborating closely with engineers, product managers, and designers to deliver high-quality software.

This position requires a schedule that overlaps with U.S. business hours.

• Embrace AI-assisted development as a core part of your workflow; stay current with emerging techniques and contribute to evolving team practices.
• Design and build features across the full stack using a variety of programming languages, testing frameworks, and development tools.
• Write clean, scalable services, components, and APIs; make sound architectural decisions within your workstream.
• Own and deliver projects independently from design to release, including those with meaningful ambiguity and architectural complexity, with high-quality code and minimal defects.
• Take strong ownership of all code you touch, proactively improving quality rather than just meeting the immediate requirement.
• Collaborate with a cross-functional team of Analysts, Data Scientists, Designers, Product Managers, and Engineers to define and deliver product features.
• Champion engineering best practices, including testing strategy, performance optimization, and technical debt management.

The experience you will bring

• 5+ years of professional (post-intern) experience designing and shipping web applications and distributed systems to production
• Proficiency in modern programming languages (Ruby, Python, React, TypeScript/JavaScript) with solid command of web frameworks and design patterns across the stack
• Experience with system architecture, database design, and API development (REST and/or GraphQL)
• Experience with cloud infrastructure, DevOps practices, and scalable deployment technologies (AWS, GCP, or Azure)
• Strong analytical and problem-solving skills; ability to navigate technical complexity and articulate trade-offs clearly
• Excellent written and verbal communication skills in English; proven ability to collaborate effectively with cross-functional stakeholders
• Interest in technical interviewing, talent assessment, or edtech is a strong plus

This position is only available to candidates residing in Bengaluru (formerly known as Bangalore). While our team operates 100% remotely, we are currently limiting hiring to this specific location. Applications from other cities in India will not be considered at this time.

Applicants, please note: submissions not 100% in English will not be considered.

Come join our Engineering team

Our Software Engineering team is dedicated to building the world’s most predictive, inclusive, and fair interviewing products for our clients and technical candidates alike.

What you will do

As a Staff Software Engineer at Karat, you'll lead the most complex, cross-team technical initiatives at the company and shape the direction of our engineering organization. You'll drive significant architectural improvements to our platform, set the technical vision for the systems your teams depend on, and bring Karat's technical voice into the room with clients, building trust, shaping product direction, and ensuring our most important relationships are grounded in deep technical credibility. Your impact will be felt not just in the code you ship, but in how the entire engineering organization builds.

This position requires a schedule that overlaps with U.S. business hours.

• Embrace AI-assisted development as a core part of your workflow; lead the team's thinking on how emerging techniques should shape Karat's engineering practices at scale.
• Lead the design and delivery of complex, cross-team technical initiatives, navigating ambiguity, aligning stakeholders, and driving projects through to production even when product direction is unclear.
• Own significant areas of Karat's technical stack, proactively identifying and proposing improvements that meaningfully advance developer experience and end-user outcomes.
• Design significant architectural changes to the platform, evaluating trade-offs at scale and ensuring decisions serve both current needs and long-term organizational health.
• Bring Karat's technical voice into the room with clients, building trust, shaping product direction, and ensuring our most important relationships are grounded in deep technical credibility.
• Mentor and elevate engineers across levels, contributing to a culture of technical excellence and continuous improvement.
• Champion engineering best practices across the organization, including testing strategy, performance optimization, and technical debt management.

The experience you will bring

• 10+ years of post-internship professional experience leading the architecture and delivery of large-scale, complex web applications and distributed systems in production; a demonstrated record of organizational-level technical impact
• Deep expertise in modern programming languages (Ruby, Python, React, TypeScript/JavaScript) with mastery of web frameworks, design patterns, and system design at scale
• Expert-level experience with microservices architecture, database optimization, and API design at scale (REST and GraphQL)
• Deep experience with cloud infrastructure, DevOps practices, and scalable deployment technologies (AWS, GCP, or Azure)
• Proven technical leadership across teams and initiatives, with a track record of driving organizational-level technical improvements
• Comfort engaging directly with clients or external stakeholders, with the ability to represent complex technical work clearly and build trust in a client-facing setting
• Interest in technical interviewing, talent assessment, or edtech is a strong plus

This position is only available to candidates residing in Bengaluru (formerly known as Bangalore). While our team operates 100% remotely, we are currently limiting hiring to this specific location. Applications from other cities in India will not be considered at this time.

Applicants, please note: submissions not 100% in English will not be considered.

Come join our Engineering team

Our Software Engineering team is dedicated to building the world’s most predictive, inclusive, and fair interviewing products for our clients and technical candidates alike.

What you will do

As a Senior Software Engineer at Karat, you'll own complex, technically demanding projects on our flagship interviewing platform and drive them end-to-end. You'll make significant architectural decisions, actively improve technical quality across the team's codebase beyond your own lane, and collaborate closely with engineering leadership to raise the bar on how we build.

This position requires a schedule that overlaps with U.S. business hours.

• Embrace AI-assisted development as a core part of your workflow; stay current with emerging techniques and help evolve the team's practices as the field advances rapidly.
• Design and build sophisticated web applications across the full stack; own significant architectural decisions that ensure long-term maintainability and performance.
• Own and deliver complex, heavily ambiguous projects from design to release, independently resolving significant architectural questions and seeing work through to production.
• Proactively identify and address technical quality issues beyond your immediate project scope, looking across the team's systems to reduce risk and improve reliability.
• Mentor junior engineers, elevating the team's overall capability through knowledge sharing, code reviews, and hands-on guidance.
• Collaborate with a cross-functional team of Analysts, Data Scientists, Designers, Product Managers, and Engineers to define and deliver product features.
• Champion engineering best practices, including testing strategy, performance optimization, and technical debt management.

The experience you will bring

• 7+ years of post-internship professional experience owning and delivering complex, full-stack web applications and distributed systems end-to-end in production
• Deep expertise in modern programming languages (Ruby, Python, React, TypeScript/JavaScript) with strong command of web frameworks and design patterns across the stack
• Strong experience with system architecture, microservices design, database optimization, and API development (REST and GraphQL)
• Hands-on experience with cloud infrastructure, DevOps practices, and scalable deployment technologies (AWS, GCP, or Azure)
• Demonstrated technical leadership, including mentoring teammates and driving technical initiatives
• Excellent written and verbal communication skills in English; proven ability to work with diverse stakeholders and translate technical concepts for non-technical audiences
• Interest in technical interviewing, talent assessment, or edtech is a strong plus

This position is only available to candidates residing in Bengaluru (formerly known as Bangalore). While our team operates 100% remotely, we are currently limiting hiring to this specific location. Applications from other cities in India will not be considered at this time.

Applicants, please note: submissions not 100% in English will not be considered.

Overview:

Guidepoint is an enterprise software organization embarking on a modernization strategy from a legacy monolith to a cloud-native, Kubernetes-based environment. With multiple product and platform teams delivering reusable services across the enterprise, We are seeking a highly experienced PostgreSQL Database Administrator and Architect to design, operate, and evolve PostgreSQL platforms that support cloud-native, microservices-based applications. This role is critical to ensuring our data layer is scalable, resilient, secure, and aligned with Kubernetes-driven architectures.

You will work closely with platform engineering, DevOps, SRE, and application teams to design PostgreSQL architectures that seamlessly support containerized workloads, distributed systems, and high-throughput microservices. This is a hands-on leadership role requiring deep PostgreSQL expertise combined with modern cloud and Kubernetes experience. This role is essential for driving modernization, reducing duplication, accelerating delivery, and building a cohesive, future-ready enterprise architecture.

This position is a hybrid position out of our Pune office.

What You’ll Do:

• Design, deploy, and operate PostgreSQL platforms for microservices in Kubernetes environments, ensuring scalability and resilience
• Architect and manage Azure PostgreSQL (Flexible Server & Hyperscale/Citus) for high availability, disaster recovery, and global scale
• Lead performance tuning, troubleshooting, and capacity planning across database and infrastructure layers
• Drive cloud migration and modernization from legacy/on-prem systems to cloud-native PostgreSQL
• Partner with engineering teams to enable CI/CD, automation, and zero-downtime deployments
• Implement security, compliance, backup, and disaster recovery strategies
• Define database design patterns for microservices, including distributed and event-driven architectures
• Build automation using IaC tools (Terraform, Bicep) and scripting (Python, Bash, PowerShell)
• Establish monitoring/observability, define best practices, and mentor teams as a senior technical leader

Required Technical Qualifications:

• 8+ years in software architecture, cloud engineering, or platform engineering.
• Strong expertise in: 
• Domain-driven design (DDD) and domain decomposition
• Cloud-native design principles and modernization strategies
• Event-driven design, messaging platforms (Kafka, Azure Service Bus)
• Cloud-native patterns such as CQRS, Saga, Event Sourcing, Circuit Breakers
• Demonstrated proficiency in programming languages with the ability to assess current application structures and determine appropriate modernization approaches.
• Experience with authentication and identity, including Auth0, OIDC, OAuth2, and SSO.
• Experience in API architecture, including REST, GraphQL, and gateways, is required.
• Experience using AI-powered tooling to support PostgreSQL administration, troubleshooting, and operational efficiency.

Desired Technical Qualifications:

• Kubernetes, Containers, service mesh, ingress/egress patterns  
• Microservices and distributed systems 
• Ci/CD pipelines, Helm charts, GitOps and modern DevOps tooling

What We Offer:

• Competitive compensation
• Employee medical coverage
• Central office location
• Entrepreneurial environment, autonomy, and fast decisions
• Casual work environment

About Guidepoint:

Guidepoint is a leading research enablement platform designed to advance understanding and empower our clients’ decision-making process. Powered by innovative technology, real-time data, and hard-to-source expertise, we help our clients to turn answers into action.

Backed by a network of nearly 1.75 million experts and Guidepoint’s 1,600 employees worldwide, we inform leading organizations’ research by delivering on-demand intelligence and research on request. With Guidepoint, companies and investors can better navigate the abundance of information available today, making it both more useful and more powerful.

At Guidepoint, our success relies on the diversity of our employees, advisors, and client base, which allows us to create connections that offer a wealth of perspectives. We are committed to upholding policies that contribute to an equitable and welcoming environment for our community, regardless of background, identity, or experience. 

#LI-NJ1

#LI-HYBRID

Senior Software Engineer:

Role summary Build, evolve, and operate backend services at scale for ZoomInfo. You’ll work primarily with Node.js/TypeScript (NestJS preferred), design robust REST/GraphQL APIs, optimize MongoDB/Redis, and deploy on cloud (GCP preferred or AWS) with a strong focus on reliability, performance, security, and cost efficiency.

What you’ll do:

• Design, implement, and own microservices and REST/GraphQL APIs in Node.js/TypeScript (NestJS preferred)
• Translate product requirements into technical designs; break down work, estimate, and deliver incrementally
• Model data and optimize queries in MongoDB; implement effective caching with Redis (TTL, eviction, hot-key mitigation)
• Ship production-ready code with unit/integration tests; participate in on-call, incident response, and postmortems
• Containerize and deploy via Docker/Kubernetes; automate builds and releases with CI/CD (blue/green or canary)
• Instrument services for logs, metrics, and traces (p95/p99); continuously improve latency, reliability, and cost
• Review code, document designs, and mentor SE II/III engineers; contribute to shared standards and best practices

What you bring:

• 7+ years of software engineering experience, including 3+ years building backend services in Node.js/TypeScript
• Strong API fundamentals: versioning, pagination, authN/Z (OAuth/OIDC), and secure coding (OWASP)
• Hands-on with NestJS/Express/Fastify; familiarity with microservices patterns and event-driven workflows
• MongoDB expertise (schema design, indexing, basic sharding concepts) and Redis caching patterns
• Cloud experience on GCP (preferred) or AWS; Docker; working knowledge of Kubernetes; CI/CD with GitHub Actions/Jenkins/GitLab
• Observability skills: Datadog/OpenTelemetry/Prometheus/Grafana; confident debugging in production
• Collaboration and communication skills; bias for clean, well-tested, and well-documented code

Nice to have:

• Kafka or Pub/Sub; API Gateway/Ingress; feature flags; rate limiting and quotas
• Terraform/Helm; security tooling (SonarQube), dependency hygiene, secret management
• Performance profiling, load testing, and practical cost optimization

#LI-PM1

#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.

Role Summary

We are hiring Senior Engineers who combine solid software engineering fundamentals with proven proficiency in AI-assisted development. This role is designed for engineers who have actively used AI coding tools (such as Cursor, Claude Code, Codex CLI only) for at least one year and can leverage these capabilities to ship higher-quality code faster. You will be embedded in product engineering squads, leading feature development, mentoring junior engineers, and championing AI-first development practices across the team.

What Makes This Role Different

This is not an AI research role - it is a core engineering role for engineers who use AI as a force multiplier. We expect you to:

• Use AI coding assistants daily to accelerate development without sacrificing code quality.
• Critically evaluate AI-generated code for correctness, security vulnerabilities, and maintainability.
• Share best practices for AI-assisted workflows with the broader engineering team.
• Help define team standards for responsible and effective AI tool adoption.

Key Responsibilities

1  Feature Engineering & Delivery

• Design, build, and ship production-quality features across the full stack or within your domain (backend, frontend, platform, or data).
• Leverage AI coding assistants to write, refactor, document, and test end-to-end code efficiently.
• Translate product requirements and technical specifications into clean, maintainable implementations.
• Lead feature squads for medium-complexity initiatives from design through deployment.
• Participate in and drive sprint planning, backlog grooming, and technical estimation sessions.

2  AI-Augmented Development Practices

• Champion the use of AI pair-programming tools (Copilot, Cursor, Claude, etc.) across the engineering org.
• Develop and document internal guidelines for effective AI prompt engineering within coding workflows.
• Conduct training sessions or knowledge-share presentations on maximising productivity with AI tools.
• Critically audit AI-generated code for logic errors, security issues, and performance anti-patterns before merging.
• Stay updated on the latest AI development tooling and evaluate new tools for team adoption.

3  Code Quality & Engineering Excellence

• Write testable, modular, and well-documented code following the team's style guides and design principles.
• Drive test-driven development (TDD) and maintain code coverage targets.
• Perform thorough code reviews with constructive feedback; uphold engineering standards.
• Identify and address technical debt proactively; contribute to architecture improvements.
• Participate in RCA (root cause analysis) for production incidents; implement lasting fixes.

4  Architecture & Technical Design

• Contribute to system design discussions, proposing solutions with appropriate trade-off analysis.
• Create and maintain technical design documents (TDDs), ADRs (Architecture Decision Records), and API contracts.
• Evaluate and adopt relevant third-party libraries, APIs, and SaaS tools with a security-first mindset.
• Collaborate with platform / DevOps teams on observability, CI/CD pipelines, and infrastructure-as-code.

5  Mentoring & Team Growth

• Mentor 1–2 mid-level engineers; conduct regular 1:1 technical coaching sessions.
• Onboard new team members by sharing codebase context, tooling setup, and team practices.
• Contribute to a culture of psychological safety, learning from failures, and continuous improvement.

6  Cross-functional Collaboration

• Work closely with Product Managers, Designers, and Operations to deliver delightful, high-quality user experiences.
• Coordinate with data and AI/ML teams to integrate model endpoints, APIs, and AI features into product surfaces.
• Participate in customer-facing escalations where deep technical expertise is required.

Required Qualifications

1  Education

• Bachelor's degree in Computer Science, Software Engineering, or a related field.
• Candidates without a degree but with a strong portfolio and demonstrable project history will be considered.

2  Experience

• 3 – 5 years of professional software engineering experience in a product-focused environment.
• Minimum 1 year of active, hands-on experience using AI coding tools in professional work (not just personal projects).
• Track record of shipping production features end-to-end with measurable business impact.

3  Technical Skills — Core Engineering

• Languages: Proficiency in at least one of — Python, TypeScript/JavaScript, Java, Go, or Kotlin.
• Web / API: REST, GraphQL, gRPC; familiarity with microservices and event-driven architectures.
• Databases: SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Redis, DynamoDB).
• Cloud: AWS, GCP, or Azure — compute, storage, serverless, and managed services.
• DevOps: Docker, Kubernetes, CI/CD (GitHub Actions, Jenkins, CircleCI); IaC basics (Terraform/Pulumi).
• Testing: Unit, integration, and e2e testing frameworks; TDD/BDD familiarity.
• Version Control: Git, branching strategies (GitFlow, trunk-based), PR workflows.

4  AI Tooling Skills (Mandatory)

• Demonstrated proficiency with at least one AI coding assistant (Cursor IDE, Claude Code, Codex CLI).
• Ability to craft effective prompts for code generation, refactoring, debugging, and documentation tasks.
• Experience reviewing and validating AI-generated code for correctness and security.
• Understanding of limitations of LLM-based coding tools (hallucinations, context window, license risks).

5  Nice to Have

• Contributions to open-source projects.
• Experience building or integrating AI/ML features (e.g., calling LLM APIs, embedding models, RAG pipelines).
• Familiarity with agentic coding frameworks (LangChain, LlamaIndex, AutoGen, CrewAI).
• Experience in a startup or scale-up environment with rapid iteration cycles.
• Knowledge of web security (OWASP Top 10, secure coding practices).

Behavioural Competencies

• AI-First Mindset: Naturally reaches for AI tools to accelerate tasks while maintaining engineering rigour.
• Ownership: Takes end-to-end accountability — from design to deployment to monitoring.
• Pragmatism: Balances perfect with shipped; knows when to iterate vs. over-engineer.
• Mentorship: Invests in the growth of peers and junior colleagues.
• Communication: Writes clearly (code comments, docs, Slack) and articulates trade-offs confidently.
• Curiosity: Continuously explores new tools, languages, and architectural patterns.
• Collaboration: Works well in cross-functional squads; builds trust quickly.

Our Technical Architecture team within Professional Services are experts in package customization and integration as well as total, end-to-end solutions in targeted industry segments. After thorough consultation with our customers and careful analysis, we develop new IT systems or replace existing systems that support customers’ strategic, operational and financial goals.

Join us to do the best work of your career and make a profound social impact as a Technical Architect in our Professional Services team in Bangalore, India.

Key Responsibilities  

As a Technical Architect you will provide the leadership, facilitation, analysis and design tasks required for the development of an enterprise's solution architecture. You will create deliverables that help develop target-state guidance (reusable standards, guidelines, individual parts and configurations) for evolving the solution architecture and infrastructure, in order to enable business strategy and deliver targeted business outcomes.

Your core duties will include, but are not limited to:  

• Work closely with customers and partners to gather requirements and design complex business application and data integration solutions.
• Translate business processes and requirements into technical integration requirements and designs.
• Evaluate new applications to assess integration approach.
• Provide architecture-level infrastructure recommendations, configuration, and sizing requirements to support the Boomi product suite.
• Be a product expert of Boomi applications including the AtomSphere integration platform, MDH master data management and Flow.
• Recommend best practices for implementing, managing, and governing integrations using the Boomi AtomSphere integration platform.
• Define and promote the adoption of best practices of Boomi's products across the internal and external user community.

Essential Requirements

• Master's or Bachelor's degree in computer science, computer engineering, or a related field of study.
• 15 or more years of combined experience in at least three disciplines: business, information, solution or technical architecture, application development, middleware, business analysis, database management, strategic and operational planning in a multitier environment.
• 5+ years of experience in architecting and building integration solutions with Boomi
• Experience in building AI automation solutions using LLMs, RAG and AI Agents
• Proven ability to design and optimize application and data integration processes across disparate systems.
• Experience with enterprise integration tools, middleware technologies, and application and data integration patterns including ESB, MOM, JMS, SOAP/REST web services, databases, ETL.
• Practical experience implementing services-oriented architecture design and enabling technologies including messaging, XML, JSON, web services, and HTTP.
• Demonstratable experience and/or certification in one or more of AWS, Azure and GCP.
• Demonstratable experience and/or certification in one or more of TOGAF, ArchiMate, SAFe, COBIT, Zachman and Design Thinking.
• General knowledge of common CRM/SFA/ERP business systems (such as SAP, NetSuite, Workday, ServiceNow, AD, etc.) and processes (such as lead to cash, requisitions, order management, etc.)
• General knowledge of key application infrastructure components such as VMware, storage (NAS, SAN, SMB), Java JVM, networking (firewall, load balancing, proxies).
• Knowledge of security aspects considered at the architecture level and its application to all layers of the technology stack (such as payload encryption, protocol encryption, access controls, authentication/authorisation, data classification and network/infrastructure security).

Desirable Requirements

• Familiarity with other visual-based integration middleware platforms and Software-as-a-Service technologies.
• Database skills including SQL, data modelling, and databases (e.g. MS SQL Server, MySQL, Oracle) and non-relational databases (e.g. NoSQL).
• Messaging skills including JMS (e.g. ActiveMQ, MQSeries, OracleAQ).
• Development/scripting skills with Java, Groovy, JavaScript.
• Experience with containerisation and associated tooling, such as Docker, Kubernetes etc.
• Knowledge of Data Management and API Management (e.g. GraphQL alongside REST).
• Experience with performance tuning, capacity planning, monitoring metrics, etc.
• Knowledge of DevOps methodologies and CI/CD practices (familiarity with tools such as JIRA, ADO, Git, etc.)

What you’ll achieve

As an Architect you will work closely with customers to understand their requirements, assist with project scoping and build innovative solutions to solve business problems. You’ll have the opportunity to learn more about the Boomi platform and grow your skills as an architect/consultant. You will be joining Boomi at an exciting time of growth and innovation.

#LI-NR1

Our Technical Architecture team within Professional Services are experts in package customization and integration as well as total, end-to-end solutions in targeted industry segments. After thorough consultation with our customers and careful analysis, we develop new IT systems or replace existing systems that support customers’ strategic, operational and financial goals.

Join us to do the best work of your career and make a profound social impact as a Technical Architect in our Professional Services team in Bangalore, India.

Key Responsibilities  

As a Technical Architect you will provide the leadership, facilitation, analysis and design tasks required for the development of an enterprise's solution architecture. You will create deliverables that help develop target-state guidance (reusable standards, guidelines, individual parts and configurations) for evolving the solution architecture and infrastructure, in order to enable business strategy and deliver targeted business outcomes.

Your core duties will include, but are not limited to:  

• Work closely with customers and partners to gather requirements and design complex business application and data integration solutions.
• Translate business processes and requirements into technical integration requirements and designs.
• Evaluate new applications to assess integration approach.
• Provide architecture-level infrastructure recommendations, configuration, and sizing requirements to support the Boomi product suite.
• Be a product expert of Boomi applications including the AtomSphere integration platform, MDH master data management and Flow.
• Recommend best practices for implementing, managing, and governing integrations using the Boomi AtomSphere integration platform.
• Define and promote the adoption of best practices of Boomi's products across the internal and external user community.

Essential Requirements

• Master's or Bachelor's degree in computer science, computer engineering, or a related field of study.
• 15 or more years of combined experience in at least three disciplines: business, information, solution or technical architecture, application development, middleware, business analysis, database management, strategic and operational planning in a multitier environment.
• 5+ years of experience in architecting and building integration solutions with Boomi
• Experience in building AI automation solutions using LLMs, RAG and AI Agents
• Proven ability to design and optimize application and data integration processes across disparate systems.
• Experience with enterprise integration tools, middleware technologies, and application and data integration patterns including ESB, MOM, JMS, SOAP/REST web services, databases, ETL.
• Practical experience implementing services-oriented architecture design and enabling technologies including messaging, XML, JSON, web services, and HTTP.
• Demonstratable experience and/or certification in one or more of AWS, Azure and GCP.
• Demonstratable experience and/or certification in one or more of TOGAF, ArchiMate, SAFe, COBIT, Zachman and Design Thinking.
• General knowledge of common CRM/SFA/ERP business systems (such as SAP, NetSuite, Workday, ServiceNow, AD, etc.) and processes (such as lead to cash, requisitions, order management, etc.)
• General knowledge of key application infrastructure components such as VMware, storage (NAS, SAN, SMB), Java JVM, networking (firewall, load balancing, proxies).
• Knowledge of security aspects considered at the architecture level and its application to all layers of the technology stack (such as payload encryption, protocol encryption, access controls, authentication/authorisation, data classification and network/infrastructure security).

Desirable Requirements

• Familiarity with other visual-based integration middleware platforms and Software-as-a-Service technologies.
• Database skills including SQL, data modelling, and databases (e.g. MS SQL Server, MySQL, Oracle) and non-relational databases (e.g. NoSQL).
• Messaging skills including JMS (e.g. ActiveMQ, MQSeries, OracleAQ).
• Development/scripting skills with Java, Groovy, JavaScript.
• Experience with containerisation and associated tooling, such as Docker, Kubernetes etc.
• Knowledge of Data Management and API Management (e.g. GraphQL alongside REST).
• Experience with performance tuning, capacity planning, monitoring metrics, etc.
• Knowledge of DevOps methodologies and CI/CD practices (familiarity with tools such as JIRA, ADO, Git, etc.)

What you’ll achieve

As an Architect you will work closely with customers to understand their requirements, assist with project scoping and build innovative solutions to solve business problems. You’ll have the opportunity to learn more about the Boomi platform and grow your skills as an architect/consultant. You will be joining Boomi at an exciting time of growth and innovation.

#LI-NR1

About Boomi and What Makes Us Special 

Are you ready to work at a fast-growing company where you can make a difference? Boomi aims to make the world a better place by connecting everyone to everything, anywhere. Our award-winning, intelligent integration and automation platform helps organizations power the future of business. At Boomi, you’ll work with world-class people and industry-leading technology. We hire trailblazers with an entrepreneurial spirit who can solve challenging problems, make a real impact, and want to be part of building something big. If this sounds like a good fit for you, check out boomi.com or visit our Boomi Careers page to learn more.

Our Technical Architecture team within Professional Services are experts in package customization and integration as well as total, end-to-end solutions in targeted industry segments. After thorough consultation with our customers and careful analysis, we develop new IT systems or replace existing systems that support customers’ strategic, operational and financial goals.

Join us to do the best work of your career and make a profound social impact as a Technical Architect in our Professional Services team in Bangalore, India.

Key Responsibilities  

As a Technical Architect you will provide the leadership, facilitation, analysis and design tasks required for the development of an enterprise's solution architecture. You will create deliverables that help develop target-state guidance (reusable standards, guidelines, individual parts and configurations) for evolving the solution architecture and infrastructure, in order to enable business strategy and deliver targeted business outcomes.

Your core duties will include, but are not limited to:  

• Work closely with customers and partners to gather requirements and design complex business application and data integration solutions.
• Translate business processes and requirements into technical integration requirements and designs.
• Evaluate new applications to assess integration approach.
• Provide architecture-level infrastructure recommendations, configuration, and sizing requirements to support the Boomi product suite.
• Be a product expert of Boomi applications including the AtomSphere integration platform, MDH master data management and Flow.
• Recommend best practices for implementing, managing, and governing integrations using the Boomi AtomSphere integration platform.
• Define and promote the adoption of best practices of Boomi's products across the internal and external user community.

Essential Requirements

• Master's or Bachelor's degree in computer science, computer engineering, or a related field of study.
• 15 or more years of combined experience in at least three disciplines: business, information, solution or technical architecture, application development, middleware, business analysis, database management, strategic and operational planning in a multitier environment.
• 5+ years of experience in architecting and building integration solutions with Boomi
• Experience in building AI automation solutions using LLMs, RAG and AI Agents
• Proven ability to design and optimize application and data integration processes across disparate systems.
• Experience with enterprise integration tools, middleware technologies, and application and data integration patterns including ESB, MOM, JMS, SOAP/REST web services, databases, ETL.
• Practical experience implementing services-oriented architecture design and enabling technologies including messaging, XML, JSON, web services, and HTTP.
• Demonstratable experience and/or certification in one or more of AWS, Azure and GCP.
• Demonstratable experience and/or certification in one or more of TOGAF, ArchiMate, SAFe, COBIT, Zachman and Design Thinking.
• General knowledge of common CRM/SFA/ERP business systems (such as SAP, NetSuite, Workday, ServiceNow, AD, etc.) and processes (such as lead to cash, requisitions, order management, etc.)
• General knowledge of key application infrastructure components such as VMware, storage (NAS, SAN, SMB), Java JVM, networking (firewall, load balancing, proxies).
• Knowledge of security aspects considered at the architecture level and its application to all layers of the technology stack (such as payload encryption, protocol encryption, access controls, authentication/authorisation, data classification and network/infrastructure security).

Desirable Requirements

• Familiarity with other visual-based integration middleware platforms and Software-as-a-Service technologies.
• Database skills including SQL, data modelling, and databases (e.g. MS SQL Server, MySQL, Oracle) and non-relational databases (e.g. NoSQL).
• Messaging skills including JMS (e.g. ActiveMQ, MQSeries, OracleAQ).
• Development/scripting skills with Java, Groovy, JavaScript.
• Experience with containerisation and associated tooling, such as Docker, Kubernetes etc.
• Knowledge of Data Management and API Management (e.g. GraphQL alongside REST).
• Experience with performance tuning, capacity planning, monitoring metrics, etc.
• Knowledge of DevOps methodologies and CI/CD practices (familiarity with tools such as JIRA, ADO, Git, etc.)

What you’ll achieve

As an Architect you will work closely with customers to understand their requirements, assist with project scoping and build innovative solutions to solve business problems. You’ll have the opportunity to learn more about the Boomi platform and grow your skills as an architect/consultant. You will be joining Boomi at an exciting time of growth and innovation.

Aren’t sure if you’re a match? We know that impostor syndrome and the confidence gap can prevent us from meeting spectacular candidates — so don’t hesitate to apply; you could be the perfect fit!

Be Bold. Be You. Be Boomi. We take pride in our culture and core values and are committed to being a place where everyone can be their true, authentic self. Our team members are our most valuable resources, and we look for and encourage diversity in backgrounds, thoughts, life experiences, knowledge, and capabilities.  All employment decisions are based on business needs, job requirements, and individual qualifications.

 Boomi strives to create an inclusive and accessible environment for candidates and employees. If you need accommodation during the application or interview process, please submit a request to talent@boomi.com. This inbox is strictly for accommodations, please do not send resumes or general inquiries. 

#LI-NR1

Our Technical Architecture team within Professional Services are experts in package customization and integration as well as total, end-to-end solutions in targeted industry segments. After thorough consultation with our customers and careful analysis, we develop new IT systems or replace existing systems that support customers’ strategic, operational and financial goals.

Join us to do the best work of your career and make a profound social impact as a Technical Architect in our Professional Services team in Bangalore, India.

Key Responsibilities  

As a Technical Architect you will provide the leadership, facilitation, analysis and design tasks required for the development of an enterprise's solution architecture. You will create deliverables that help develop target-state guidance (reusable standards, guidelines, individual parts and configurations) for evolving the solution architecture and infrastructure, in order to enable business strategy and deliver targeted business outcomes.

Your core duties will include, but are not limited to:  

• Work closely with customers and partners to gather requirements and design complex business application and data integration solutions.
• Translate business processes and requirements into technical integration requirements and designs.
• Evaluate new applications to assess integration approach.
• Provide architecture-level infrastructure recommendations, configuration, and sizing requirements to support the Boomi product suite.
• Be a product expert of Boomi applications including the AtomSphere integration platform, MDH master data management and Flow.
• Recommend best practices for implementing, managing, and governing integrations using the Boomi AtomSphere integration platform.
• Define and promote the adoption of best practices of Boomi's products across the internal and external user community.

Essential Requirements

• Master's or Bachelor's degree in computer science, computer engineering, or a related field of study.
• 15 or more years of combined experience in at least three disciplines: business, information, solution or technical architecture, application development, middleware, business analysis, database management, strategic and operational planning in a multitier environment.
• 5+ years of experience in architecting and building integration solutions with Boomi
• Experience in building AI automation solutions using LLMs, RAG and AI Agents
• Proven ability to design and optimize application and data integration processes across disparate systems.
• Experience with enterprise integration tools, middleware technologies, and application and data integration patterns including ESB, MOM, JMS, SOAP/REST web services, databases, ETL.
• Practical experience implementing services-oriented architecture design and enabling technologies including messaging, XML, JSON, web services, and HTTP.
• Demonstratable experience and/or certification in one or more of AWS, Azure and GCP.
• Demonstratable experience and/or certification in one or more of TOGAF, ArchiMate, SAFe, COBIT, Zachman and Design Thinking.
• General knowledge of common CRM/SFA/ERP business systems (such as SAP, NetSuite, Workday, ServiceNow, AD, etc.) and processes (such as lead to cash, requisitions, order management, etc.)
• General knowledge of key application infrastructure components such as VMware, storage (NAS, SAN, SMB), Java JVM, networking (firewall, load balancing, proxies).
• Knowledge of security aspects considered at the architecture level and its application to all layers of the technology stack (such as payload encryption, protocol encryption, access controls, authentication/authorisation, data classification and network/infrastructure security).

Desirable Requirements

• Familiarity with other visual-based integration middleware platforms and Software-as-a-Service technologies.
• Database skills including SQL, data modelling, and databases (e.g. MS SQL Server, MySQL, Oracle) and non-relational databases (e.g. NoSQL).
• Messaging skills including JMS (e.g. ActiveMQ, MQSeries, OracleAQ).
• Development/scripting skills with Java, Groovy, JavaScript.
• Experience with containerisation and associated tooling, such as Docker, Kubernetes etc.
• Knowledge of Data Management and API Management (e.g. GraphQL alongside REST).
• Experience with performance tuning, capacity planning, monitoring metrics, etc.
• Knowledge of DevOps methodologies and CI/CD practices (familiarity with tools such as JIRA, ADO, Git, etc.)

What you’ll achieve

As an Architect you will work closely with customers to understand their requirements, assist with project scoping and build innovative solutions to solve business problems. You’ll have the opportunity to learn more about the Boomi platform and grow your skills as an architect/consultant. You will be joining Boomi at an exciting time of growth and innovation.

#LI-NR1

Boomi., is an industry leader in on demand integration. The Boomi Enterprise Platform allows you to connect any combination of Cloud, SaaS, or On-premise applications with no appliances, no software, and no coding. Our partners and customers are building forward thinking solutions with our platform to solve complex business problems.

Our team works with Boomi Platform and seeks highly talented, self-motivated professionals who understand that cloud architecture and applications are dramatically changing our world and are interested in solving complex real-world problems for fellow developers. We are searching for team members who are passionate about cloud technologies. The perfect candidate is focused on technical excellence and customer success.

Boom takes a heavy engineering driven approach to support. Our support engineers are in a unique position to help our partners and customers solve challenging issues since they intimately understand cloud application architecture and complex integration issues. Boomi’s partners and customers are integrating some of the most innovative applications today.

Role

The Managed Services and Support Engineer works to monitor, resolve issues, and support our customers’ mission critical business integrations and processes. He works directly with customers and consulting teams to maintain their technical solutions within the Boomi platform.    

Location - Hyderabad

Responsibilities:

• Monitor customer integration processes and identify abnormal conditions, such as network connectivity, data quality, runtime and infrastructure issues, and performance challenges related to sub-optimal process design.
• Triage issues between process/application and runtime/infrastructure issues and understand linkages between capacity, performance, load, etc.
• Classify new errors via Known Error dictionary.
• Troubleshoot the issue and provide remediation recommendations (if applicable), and possibly coordinate with the customer and other internal Boomi teams.
• Where possible and mutually agreed, resolve data-related errors, application connectivity and configuration issues on behalf of the customer.
• Where possible, implement break/fix type changes to resume normal operations as quickly as possible.
• Upon customer's request, perform account administration, some training and technical support for customers on the Boom Platform and the Managed Service program.
• A passion to solve customer problems using your technical prowess and refined communication skills to help address customers’ business requirements using our platform
• Maintain relationship with managed services customers
• Ability to work earlier or later shifts. To start with its 4:00 PM - 12:30 AM IST.
• Flexible to work Saturday and Sunday on need basis.
• 5+ years of relevant IT experience and at least two years of working experience in Boomi or other integration tools.
• Candidate must have a strong customer orientation, excellent phone etiquette and an excellent work ethic to meet staffing attendance requirements
• Candidate should also possess excellent communications skills and be in position to work under pressure with calmness and composure
• Work directly with customers and consulting teams to maintain their technical solutions with the Boom platform

Essential Requirements

• A passion to solve customer problems using your technical prowess and refined communication skills to help address customers’ business requirements using our platform.
• Possess Boomi Professional Integration Developer & preferably Administration certifications.
• Motivated individuals who enjoy a fast-paced work environment and understands that the SaaS culture requires creativity, collaboration, fast decision making and a sense of urgency.
• Having experience with any of the following would support your success with working with our platform.
• EDI data standards, such as X12/EDIFACT and communication protocols such as AS2, OFTP and SFTP.
• Database technologies (MySQL, Postgres, MS SQL, etc.).
• Common data formats, such as JSON, XML, Flat Files.
• API standards such as REST, SOAP and GraphQL.
• High level understanding of network and security concepts, including authentication/authorization schemes, common vulnerabilities, etc.
• High level understanding of common communication protocols, including HTTPS, FTPS, SFTP, JDBC, WebServices, etc.
• Experienced in scripting, specifically using Groovy, Javascript and Python.
• Experienced in Java development and Java Runtime Environment mechanics.

Benefits:

We offer highly competitive salaries, bonus programs, world-class benefits, and unparalleled growth and development opportunities — all to create a compelling and rewarding work environment.

Our EVP:

Our Culture Code unites us and makes us a great family of companies and a great place to work. It’s how we run the business, go to market, work together, and provide inspirational leadership.

Our culture code is defined by our values and are made real every day by defining expectations for how we work and how we lead.

#LI-NR1

Role Summary

We are seeking a Lead Engineer, AI Systems to serve as the technical anchor across our AI-augmented engineering organisation. This role bridges our Senior AI Coding Engineers, the AI/ML Developer (SLM Specialist), and the Agentic Systems intern cohort. You will set technical direction, own cross-cutting architectural decisions, and champion the responsible, high-impact adoption of AI-assisted development practices across the entire engineering function.

You will remain hands-on with code while simultaneously shaping how the wider team builds, evaluates, and ships AI-powered products.

Key Responsibilities

1  Technical Vision & Architecture

• Define and own the end-to-end technical architecture for AI Systems — spanning product feature surfaces, model inference APIs, and agentic toolchains.
• Drive Architecture Decision Records (ADRs), system design reviews, and RFC processes across squads.
• Establish standards for integrating SLM/LLM model endpoints into product surfaces built by the Senior Engineering team.
• Evaluate emerging AI infrastructure patterns (RAG, agentic orchestration, vector stores, model serving) and guide adoption decisions.
• Own the technical roadmap for AI tooling, developer productivity, and model integration layers.

2  Cross-Squad Technical Leadership

• Act as the primary technical liaison between the AI/ML Developer (model side) and Senior Engineers (product side), ensuring smooth API contracts, evaluation loops, and deployment handoffs.
• Provide technical direction to Agentic Systems interns, reviewing designs, code, and agentic pipeline implementations.
• Unblock senior engineers on hard architectural or integration challenges that span squad boundaries.
• Run cross-team design reviews, architecture syncs, and engineering guild sessions.

3  AI-Augmented Engineering Excellence

• Define and maintain the organisation’s standards for AI-assisted development — covering context engineering, AI code review protocols, context management, and tool evaluation criteria.
• Maintain and evolve the internal AI tooling playbook (Cursor IDE, Claude Code, Codex CLI, and emerging tools).
• Evaluate new AI coding tools, agentic frameworks (LangChain, LlamaIndex, CrewAI, AutoGen), and developer-productivity platforms; produce adoption recommendations with measured trade-offs.
• Conduct structured audits of AI-generated code across squads for correctness, security, and maintainability.

4  Hands-On Engineering

• Remain an active contributor: own critical-path features, prototype architectural spikes, and build shared infrastructure components used across squads.
• Personally drive resolution of the most complex production incidents and root-cause analyses.
• Review and merge high-impact PRs; maintain the highest code review quality bar on the team.
• Own observability and reliability for AI inference and MLOps integration layers in production.

5  Mentoring & Talent Development

• Mentor Senior Engineers, the AI/ML Developer, and interns through technical coaching, design feedback, and stretch assignments.
• Lead hiring panels and technical interviews; help define and uphold the engineering hiring bar.
• Contribute to onboarding frameworks that embed AI-first practices from day one.
• Model a culture of rigorous experimentation, psychological safety, and continuous improvement.

6  Stakeholder & Product Collaboration

• Partner with the Director of Engineering and Product leadership to translate product strategy into a phased technical roadmap.
• Present architectural proposals and trade-off analyses to engineering leadership and executive stakeholders as required.
• Coordinate with DevOps/Platform teams on GPU/TPU compute provisioning, CI/CD for model pipelines, and cloud cost optimisation.

Required Qualifications

1  Education

• Bachelor’s or Master’s degree in Computer Science, or a related field.
• Candidates without a degree but with a compelling portfolio demonstrating scope and impact at staff/lead level will be considered.

2  Experience

• 6 – 8 years of professional software engineering experience in product-focused environments.
• Minimum 2 years in a formal or de-facto technical lead / staff engineer capacity across multiple squads or systems.
• Minimum 8-12 months of active, hands-on experience with AI coding tools in a professional engineering setting.
• Proven track record of shipping production systems with measurable business impact at scale.
• Demonstrated experience collaborating closely with ML/AI model teams on integration, deployment, and evaluation.

3  Technical Skills — Core Engineering

• Languages: Expert proficiency in at least two of — Python, TypeScript/JavaScript, Go.
• Architecture: Microservices, event-driven systems, API design (REST, GraphQL, gRPC), distributed systems fundamentals.
• Databases: SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Redis); vector databases (FAISS, Pinecone, Weaviate).
• Cloud: AWS, GCP, or Azure — compute, storage, serverless, managed ML services (SageMaker, Vertex AI).
• DevOps: Docker, Kubernetes, CI/CD (GitHub Actions, Jenkins); IaC (Terraform/Pulumi); observability stacks.
• Testing: TDD/BDD; unit, integration, and e2e frameworks; model evaluation pipelines.

4  AI / ML Integration Skills (Mandatory)

• Demonstrated proficiency with AI coding assistants (Cursor IDE, Claude Code, Codex CLI) in daily professional workflows.
• Experience designing and consuming LLM/SLM inference APIs; understanding of model serving, latency, and cost trade-offs.
• Hands-on familiarity with RAG architectures, vector stores, and retrieval pipelines.
• Ability to define and enforce AI code quality standards across an engineering team.
• Understanding of LLM limitations: hallucinations, context window constraints, prompt injection risks, and licensing considerations.

5  Technical Skills — Nice to Have

• Experience with SLM/LLM training or fine-tuning pipelines (SFT, RLHF, LoRA/QLoRA).
• Familiarity with agentic frameworks (LangChain, LlamaIndex, AutoGen, CrewAI) and multi-step reasoning pipelines.
• Contributions to open-source ML or developer tooling projects.
• Knowledge of OWASP Top 10, secure coding, and AI-specific security risks (prompt injection, model exfiltration).
• Prior experience in a high-growth startup or scale-up environment with rapid iteration cycles.

Behavioural Competencies

• AI-First Mindset: Defaults to AI tools to accelerate work while maintaining rigorous quality standards; actively pushes the team’s AI capability forward.
• Systems Thinking: Sees the full picture — how model outputs, product surfaces, and infrastructure interdepend; anticipates second-order effects of architectural choices.
• Ownership: Takes end-to-end responsibility from design through production; doesn’t hand off problems, solves them.
• Influence Without Authority: Earns trust through technical credibility; drives alignment through persuasion, data, and well-reasoned proposals.
• Communication: Writes clear design docs, ADRs, and post-mortems; articulates complex trade-offs for engineering peers and non-technical stakeholders.
• Mentorship: Actively invests in the growth of engineers at all levels; gives direct, constructive feedback.
• Pragmatism: Balances the ideal with the shipped; knows when to iterate vs. refactor vs. rewrite.
• Curiosity: Continuously explores emerging research, tools, and patterns — and brings those learnings back to the team.

We’re looking for Backend Engineers to lead the design and delivery of SaaS products that are powered by data, machine learning, and AI. 

You’ll be the senior technical owner for one or more product areas, working across , backend, systems, and cloud infrastructure to: 

• Ship high-quality data/ML/AI powered features end-to-end 

• Integrate data/ML/AI capabilities into real customer workflows 

• Raise the bar on design, reliability, performance, and engineering practices across the org 

This is a hands-on senior role: you’ll write code, review designs, mentor senior engineers, and collaborate closely with product, design, data, and ML teams. 

What You’ll Do 

• Own the architecture and technical direction for key product areas in a multi-tenant SaaS platform. 

• Work with product, design, and data/ML teams to translate business problems into simple, robust technical solutions. 

• Drive the evolution of our system architecture (APIs, services, data flows, auth, tenancy, integrations) as the product and customer base scale. 

End-to-End Full-Stack Product Delivery 

• Build and maintain backend services and APIs (REST/GraphQL/gRPC) that power those experiences. 

• Deliver backend features end-to-end including data schemas and business logic. 

• Collaborate with UX and product to ensure responsive and delightful product experiences. 

Data / ML / AI Integration 

• Partner with data scientists and MLOps / platform teams to embed data, ML and AI capabilities into the product (recommendations, categorization, automation, routing, insights, LLM-powered workflows, etc.). 

• Design APIs, data contracts, and UX flows that make ML/AI features reliable, understandable, and safe for customers. 

• Ensure telemetry and feedback loops are in place so data/ML teams can measure performance, iterate models, and improve outcomes. 

• Help define and implement guardrails for AI features (fallbacks, explanations, error handling, permissions). 

Operational Excellence 

• Champion operability: monitoring, alerting, logging, and runbooks for services you own. 

• Lead efforts to improve performance, scalability, and resilience of critical paths (e.g., onboarding, reporting, AI-assisted workflows). 

• Work with security and compliance to ensure features meet requirements around authentication, authorization, data privacy, and multi-tenancy. 

• Participate in and help evolve on-call / incident response processes as a technical leader. 

Engineering Excellence & Leadership 

• Act as a technical mentor for multiple teams, raising the bar on code quality, reviews, testing, and design. 

• Lead technical design reviews and cross-team architecture discussions, especially where product, data, and ML intersect. 

• Help define engineering standards and best practices (API design, frontend patterns, error handling, observability, testing). 

• Partner with engineering management to shape roadmaps, staffing, and sequencing for major initiatives. 

What You’ll Bring 

Experience 

• 10+ years of software engineering experience 

• Demonstrated experience shipping data/ML/AI powered SaaS products, 

• Strong track record of owning and shipping complex, user-facing features end-to-end in collaboration with product management and UX. 

• Experience as a senior member of the technical staff in guiding teams and owning critical production systems. 

Technical Skills 

• Strong proficiency with at least one backend stack, for example: 

• Node.js/TypeScript, Java,  Go, Rust, or similar 

• Designing and building APIs, services, and integrations 

• Proficiency with Python and data analysis/modeling tools (e.g. pandas/pytorch) 

• Solid understanding of data modeling and storage: relational databases, caching, and basic data warehousing concepts. 

• Familiarity with data/ML/AI concepts: 

• How ML models or LLMs are exposed as services 

• Typical failure modes, latency/throughput considerations, and guardrails 

• Experience with cloud platforms (AWS / GCP / Azure), containers, and infrastructure (networking, scaling, security). 

• Strong habits around testing, CI/CD, code reviews, and incremental delivery. 

Mindset & Soft Skills 

• Product-minded engineer who cares about customer problems, usability, and outcomes, not just code. 

• Systems thinker who can balance short-term delivery with long-term architectural health. 

• Excellent communicator, comfortable driving alignment across engineering, product, data, and go-to-market teams. 

• Enjoys mentoring and multiplying the impact of other engineers. 

Department - Product Management 

Reports to - Group Product Manager, Payments Marketing 

Role Purpose

The Product Manager (PM) will be responsible for the design, development, and delivery of Boku’s In-App Storefront and Marketing products. In-app marketing creates a new direct-to-consumer channel for merchants by enabling them to engage users through storefronts, offers, and promotions embedded within payment partner mobile applications. This unlocks a powerful way for merchants to drive incremental sales, strengthen brand presence, and reach consumers directly inside the digital ecosystems they use every day.

The PM will play a key role in bringing this product line to market by translating strategy into execution. They will work closely with engineering, delivery, and commercial teams to define requirements, manage the backlog, and oversee timely product releases. By ensuring the delivery of high-quality SDKs, APIs, and integrations, the PM will enable wallet and app partners to support merchants in reaching consumers effectively, while contributing to Boku’s growth through new revenue-generating opportunities.

Key Responsibilities

1. Product leadership:
• Lead the day-to-day product lifecycle by defining scope, capturing requirements, and driving initial product releases.
• Ensure execution is aligned with the overarching strategy of the In-App Storefront product line as set by the Product Lead, with a focus on validating product-market fit and enabling early adoption.
2. Technical product management:
• Collaborate with Engineering to design and validate technical solutions, including authentication models, SDK flows, and merchant integration requirements, ensuring scalability, security, and reliability.
3. Cross-functional collaboration:
• Partner with Engineering, Delivery, Commercial, and Partner teams to ensure smooth technical implementation of SDKs, APIs, and integrations that enable merchants and wallet partners to embed storefront and marketing capabilities.
4. Execution alignment and stakeholder communication:
• Manage priorities, track progress against deliverables, and communicate updates to stakeholders across the business, escalating risks and dependencies to the Product Lead as needed.
5. Data-driven decision making:
• Establish success metrics and measurement frameworks for pilot launches.
• Use data from early experiments and partner integrations to validate assumptions, guide iteration, and identify areas for improvement.
6. Market analysis and positioning:
• Stay close to industry trends, wallet ecosystems, and merchant needs to identify the most viable opportunities for adoption.
• Gather insights from competitors and adjacent offerings to refine product positioning and inform go-to-market priorities.
7. Platform integration foundations:
• Partner with Engineering to develop APIs, SDKs, and integration features that make onboarding early partners straightforward.
• Prioritize flexibility and adaptability to support a variety of partner use cases, with scalability considerations built into the design for future growth.
8. Stakeholder communication:
• Act as a key liaison between product teams and leadership, ensuring transparency and alignment on priorities.
• Present roadmaps, updates, and outcomes to stakeholders, gathering feedback and adjusting plans as needed.

Measures of Success

1. Adoption & Growth: Successful onboarding and adoption of In-App Storefront products by early wallet and merchant partners. Measurable increases in usage and engagement through pilot programs and initial market launches.
2. Customer & Partner Success: High levels of satisfaction from partners, measured by smooth integrations, feedback from pilots, and early indicators of product adoption and retention.
3. Product Delivery & Performance: Timely delivery of MVP and subsequent releases, with well-documented APIs/SDKs, minimal technical issues, and strong collaboration with Engineering to ensure stability and reliability.
4. Innovation & Development: Iterative delivery of new features and enhancements based on pilot learnings and partner feedback. Demonstrated ability to balance innovation with execution discipline.
5. Market Validation: Evidence of product-market fit demonstrated through merchant demand, early commercial wins, and validation against emerging market offerings.
6. Foundations for Scale: Development of a flexible and integration-ready platform that can evolve to support future growth across multiple partners and markets.

Key Skills and Competencies

Experience:

• 3+ years of product management experience, ideally in B2B, fintech, or mobile application ecosystems.
• Demonstrated success in delivering new products from concept through MVP and pilot launch.
• Experience working directly with engineering teams to deliver APIs, SDKs, and customer-facing integrations.

Skills:

• Strong understanding of product management principles, with a focus on execution, backlog management, and delivering technical products to market.
• Familiarity with front-end and mobile app development processes, including user flows, UX considerations, and partner integration requirements.
• Ability to define and manage technical requirements for APIs, SDKs, and secure authentication flows.

Technical Proficiency:

• Comfortable discussing architecture and technical tradeoffs with engineers across web and mobile platforms.
• Familiarity with modern web technologies (e.g., JavaScript frameworks, REST/GraphQL APIs) and mobile app development environments (iOS, Android).
• Understanding of cloud-based infrastructure, data security, and integration best practices.
• Hands-on experience with product management and collaboration tools such as Jira, Confluence, and analytics platforms.

Soft Skills:

• Strong communication skills to translate technical details into clear requirements for both engineers and non-technical stakeholders.
• Highly organized, detail-oriented, and capable of managing multiple priorities across cross-functional teams.
• Problem-solving mindset with the ability to learn quickly and adapt in a fast-moving, early-stage product environment.

Collaborative approach with a customer-first perspective, ensuring solutions meet real partner and merchant needs.

Preferred Qualifications:

• Experience working on SDKs, developer tools, or integration-heavy products.
• Exposure to fintech, wallet ecosystems, or in-app commerce/marketing solutions.
• Familiarity with Agile and Lean product development methodologies, including iterative releases and test-and-learn approaches.
• Basic understanding of B2B SaaS metrics such as adoption, retention, and engagement.

If you are a hands-on product manager with a passion for building new products, working closely with engineering teams, and delivering solutions that create value for merchants and partners, we encourage you to apply.

Software Engineer III (Java + JavaScript + SQL)

TraceLink is seeking an experienced full time Software Engineer III to join our team to work on our Analytics products. If you’ve got a solid grasp of SQL, Java and Javascript and familiarity of cloud environments like AWS. If you’re highly motivated and looking for a chance to make a real contribution on a high profile project, you could be a good fit for our team.

The Software Engineer III - will be responsible for the design, development and maintenance of cutting edge cloud based Analytics applications, running in our sophisticated, Kubernetes (AWS EKS) hosted, RxJava/Vert.x cloud platform, the Digital Network Platform (OPUS).  All of this within the Life Sciences / Pharma supply chain domain.

Responsibilities:

• Proficiency in Data Structures and Algorithms.

• Develop Analytics solutions that will help clients optimize their supply chain operations and adhere to compliance regulations. 

• Work closely with Domain experts, Data scientists, Architects, Product managers and Product Engineers to design and implement Analytics products.

• As an individual contributor, you will be responsible for writing clean, high performance and scalable code across different frameworks and languages.

• Work in fast paced Agile teams and ability to quickly learn and adapt to new tools and technologies.

• Work with QA teams to align on test planning and help in test executions.

Candidates must possess the following skills and traits: 

• 4 to 6 years of experience with at least 1 year hands on experience with writing SQL queries.

• Expertise in Java & Javascript & SQL.

• Familiarity with AWS Cloud Data storage and processing services - S3, Glue, Athena, Redshift, RDS, Elastic Search, Kafka/Kinesis, SQS, SNS etc.

• Solid understanding of RESTful APIs, Microservices architecture, and containerization (Kubernetes).

• Strong understanding of event-driven architecture and asynchronous messaging

• Exposure to Javascript, GraphQL, Vert.x, Rx/Java would be preferred.

• Analytical thinking and collaborative mindset with excellent communication skills. 

• Experience working in an Agile environment with teams distributed across US and India

• Strong Computer Science fundamentals: Data Structures and Algorithms

Good to have:

• Knowledge and Experience building Agentic AI systems.

• Knowledge and Experience with Prompt/Context Engineering. 

Education:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or or equivalent experience required.

Staff Data Scientist – Supply Chain AI (Small Language Models)  

At Avathon, we build AI products that solve real industrial problems at scale. We believe the future of enterprise AI lies in small, focused, high-performance models—deeply grounded in domain context—not just large, generic systems. 

We’re looking for an experienced Data Scientist to join our Supply Chain AI team in India. In this role, you’ll design, fine-tune, and deploy optimized Small Language Models (SLMs) that power production-grade AI features across logistics, planning, inventory, and demand forecasting. 

What Makes This Role Unique 

This is a product-first data science role. You won’t just build models—you’ll own how they show up in real products used by large enterprises. Your work becomes the intelligence layer that sits on top of our graph and indexing systems and directly drives customer outcomes. 

What You’ll Do 

• Build and fine-tune SLMs/LLMs for production use cases such as semantic search, forecasting, contract intelligence, and conversational insights. Optimize models for performance, cost, and latency using PEFT, quantization, and efficient inference techniques 

• Embed supply chain knowledge into models by working closely with domain experts and product teams 

• Enable agentic workflows, allowing AI Assistants to execute planning, optimization, and decision-support tasks 

• Integrate models into products using custom Lambdas, and a Graph-based microservices architecture  

• Apply vector search and semantic reasoning to help customers navigate complex supply chain relationships 

• Work with real enterprise data—ERP, logistics, inventory, supplier, and contract datasets 

• Deploy and operate models using strong MLOps practices on platforms like AWS, GCP or AZURE 

• Measure and improve quality, reducing hallucinations and improving reliability through continuous evaluation 
• Partner with engineering, product, and operations teams to ship impactful AI features end-to-end 

What We’re Looking For 

• Experience working with SLMs (Mistral, Phi, Nemotron, Llama variants), applying parameter-efficient fine-tuning (LoRA/QLoRA) to optimize task-specific natural language query answering with high accuracy and minimized hallucinations. 

• Strong understanding of supply chain data and workflows (logistics, inventory, procurement, ERP systems) 

• Familiarity with Knowledge Graphs and graph-based data modeling, including designing and querying Neo4j graphs for relationship-driven insights. 

• Solid hands-on skills in Python, PyTorch/TensorFlow, GraphQL, and vector databases 

• 8+ years of experience in forecasting, optimization, supply chain analytics, or AI-driven products 

• Experience designing Retrieval-Augmented Generation pipelines using document chunking, metadata filtering, hybrid (dense + sparse) retrieval, and SLM/LLM grounding for enterprise knowledge search. 

• Hands-on experience building and tuning FAISS-based vector indexes (IVF, HNSW, PQ) for large-scale semantic similarity search with low-latency production deployment 

• Experience taking models from prototype to production 

• Bonus: reinforcement learning, MARL, graph neural networks, or probabilistic modeling 

• Clear communication skills and a strong sense of product ownership 

Why Avathon 

You’ll work on core AI products, not experiments—solving complex supply chain problems for global enterprises, while building from India as a key innovation hub. 

If you enjoy shipping AI that delivers measurable business value, this role is for you. 

We are seeking a highly skilled and experienced Senior Golang Engineer to lead the development of robust, scalable backend systems and services. The ideal candidate has deep expertise in Golang, strong problem-solving skills, and a passion for designing high-performance, distributed systems. You will collaborate with cross-functional teams to build and optimize mission-critical applications.

What You'll Do (Key Responsibilities)

• Design, develop, and maintain high-performance backend services using Golang.
• Architect scalable, secure, and reliable systems and APIs.
• Optimize applications for maximum performance and scalability.
• Collaborate with DevOps, front-end, and product teams to deliver end-to-end solutions.
• Participate in code reviews, architecture discussions, and mentorship of junior engineers.
• Write clean, testable, and well-documented code.
• Debug and resolve production issues and implement long-term fixes.
• Stay current with new technologies, industry trends, and best practices.

Required Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
• 8+ years of software development experience, with at least 3 years in Golang.
• Proficiency in building RESTful APIs and microservices using Golang.
• Strong understanding of concurrency, memory management, and performance optimization.
• Experience with containerization technologies like Docker and orchestration tools like Kubernetes.
• Knowledge of relational and NoSQL databases (e.g., PostgreSQL, MySQL, MongoDB).
• Familiarity with CI/CD pipelines and cloud platforms (AWS, GCP, Azure).
• Strong debugging and performance tuning skills.
• Excellent communication, collaboration, and problem-solving skills.

Preferred Experience and Skills

• Experience with message brokers and event-driven architecture (Kafka, RabbitMQ).
• Familiarity with monitoring and logging tools (Prometheus, Grafana, ELK Stack).
• Contributions to open-source Golang projects.
• Knowledge of GraphQL or gRPC.

An overview of this role

As a Backend Engineer on the Secret Detection team, you'll help protect sensitive data by building the services, scanning workflows, and remediation paths that prevent leaked secrets from reaching production. Your work will contribute to the full secret management lifecycle, from push protection to pipeline-based scanning, validation, and auditability, so developers can move quickly without taking on avoidable security risk. This is a strong opportunity if you want to work on security features with clear customer impact, improve detection quality, and help teams act when credentials, API keys, or other secrets are exposed.

You'll focus on backend systems that power Secret Detection across GitLab's DevSecOps platform, working closely with product management and engineering peers in an async-first environment. In your first year, you'll contribute to core product capabilities, improve performance and result quality, and help shape technical direction through code reviews, RFCs, and proof of concepts.

Some examples of our projects:

• Prevent secret leaks in source code with GitLab Secret Push Protection
• Verify validity of secret detection findings

What you’ll do

• Guide the design and implementation of backend features for GitLab Secret Detection in Ruby on Rails, GraphQL, and Go, delivering capabilities that improve coverage, reliability, or response time for secret detection workflows.
• Build clean, well-tested, maintainable code that meets GitLab standards for reliability and performance, helping reduce regressions and maintain backend systems at scale.
• Partner with product management and engineering peers to deliver backend capabilities that improve detection, validation, remediation, and audit trail coverage across the secret management lifecycle.
• Improve detection quality by reducing false positives, strengthening secret validation workflows, and enabling faster, more effective remediation paths.
• Contribute to code reviews, RFCs, and proof-of-concept work that guide technical approaches across the Secret Detection category.
• Identify technical debt and operational inefficiencies, then propose and implement practical improvements.
• Diagnose performance and optimization issues in backend systems and implement improvements that increase efficiency, scalability, and service reliability.
• Work effectively in a globally distributed, async-first team while participating in planning, engineering discussions, and pairing when needed.

What you’ll bring

• Experience building backend applications and services using Ruby on Rails, with working knowledge of GraphQL and interest in backend-focused product development.
• Experience designing and delivering secure, maintainable systems that power production web applications at scale.
• Knowledge of security concepts, common vulnerabilities, mitigation techniques, and secure coding practices.
• Background developing or working with security tools or products, especially in areas related to code scanning or secret detection.
• Experience investigating performance issues and improving backend reliability, efficiency, and maintainability.
• Ability to work closely with cross-functional partners, including product, design, and technical writing, to deliver useful product outcomes.
• Communicate clearly in writing and in conversation, especially in remote, async-first environments with distributed teams.
• Bring transferable experience and a willingness to grow into parts of the security or Go stack.

About the team

The Secret Detection team owns GitLab's Secret Detection category, and we build the backend systems and related user workflows that help developers identify and mitigate exposed secrets as code is contributed. We work with the broader security product suite while maintaining focused investment in secret scanning quality, validation, remediation, and developer experience. Our work spans Rails and Go services, and we work primarily asynchronously across time zones as a globally distributed team. Current opportunities include expanding coverage across the secret management lifecycle and improving result quality across the findings our tools detect. For more on how we work, see the Team Handbook page.

An overview of this role:

As a Staff Backend Engineer on the GitLab Knowledge Graph team, you'll help design, scale, and operate a high‑impact graph data service that underpins agents, analytics, and architecture‑level features across GitLab.com, Dedicated, and Self‑Managed deployments. You'll partner with a small, senior Rust‑first team to ship reliable graph capabilities and make them easy for other teams and agents to use.

The Knowledge Graph service is a distributed SDLC indexing system. It builds a property graph from GitLab SDLC (software development lifecycle) and code data using ClickHouse, NATS JetStream, and the Data Insights Platform. It also exposes secure graph queries and MCP tools for AI agents and product features. In this role, you’ll own core parts of the system end to end: shaping the architecture, hardening multi‑tenant behavior and performance, and making it straightforward for other teams and agents to consume graph capabilities.

In your first year, you’ll take clear ownership of major areas of the service (for example, the graph query engine, SDLC indexing, or multi‑tenant authorization), reduce single points of failure through better runbooks and shared context, and raise the bar on how we design, build, and operate analytical services across the stack.

What you’ll do

• Lead the design and evolution of core Knowledge Graph services in a production Rust codebase, including the graph query engine, SDLC and code indexing pipelines, and API/MCP surfaces that other GitLab teams and AI agents rely on.
• Own complex, cross-cutting initiatives that span GitLab Rails, the Data Insights Platform (Siphon, NATS, ClickHouse), and GitLab Duo Agent Platform, from technical direction and design docs through implementation, rollout, and iteration.
• Drive system design decisions that improve reliability, scalability, and maintainability for analytical (OLAP‑style) graph workloads. This includes multi‑hop traversals, aggregations, and multi‑tenant isolation. Document trade‑offs so the broader team can move quickly and stay aligned.
• Define and improve operational maturity for the service, including service level objectives (SLOs), observability, runbooks, incident response, capacity planning, and production readiness (PREP) for GitLab.com, Dedicated, and Self-Managed deployments.
• Collaborate asynchronously with product, data, infrastructure, security, and AI teams to sequence work, unblock platform‑level dependencies, and land features in a way that is safe for customers and sustainable for the team.
• Apply AI‑assisted development workflows responsibly (for example, using MCP‑aware tools, Knowledge Graph-backed agents, and internal Duo tooling) and help establish practical norms for how the team uses AI while maintaining strong engineering judgment.
• Mentor and support other engineers through pairing, technical design reviews, and knowledge-sharing, reinforcing shared ownership of the system and its operational sustainability.
• Contribute across the stack when needed, including occasional Ruby (Rails integration and authorization paths) or frontend work (for example, the Software Architecture Map UI) to close gaps and keep delivery moving.

What you’ll bring

• Significant experience building and operating production backend systems, with a track record of owning reliability, maintainability, and on-call readiness for services that support other product teams or platforms.
• Strong engineering skills in Rust or clear evidence you can ramp quickly and deliver in a Rust-first, performance-sensitive backend codebase.
• Strong system design skills, including making and explaining clear architectural decisions, documenting constraints, and aligning trade-offs with product and platform needs.
• Strong fundamentals in preparing and structuring information for AI agents: how to curate and organize what the agent sees, design systems that support effective LLM-powered behavior, and manage context windows and token usage.
• Comfort working in ambiguous environments, with the ability to work autonomously and stay self-directed. Demonstrated ability to identify problems, drive solutions, and take ownership.
• Experience with distributed data or analytics systems (for example, OLAP databases like ClickHouse or columnar stores, Kafka‑ or NATS‑style messaging, or change data capture (CDC) pipelines), and comfort reasoning about trade‑offs in that space.
• Familiarity with graph data modeling and/or query patterns (property graphs, Cypher/GQL, n-hop traversals, aggregations), or strong interest in developing that expertise in this role.
• Practical experience using AI tools in day-to-day development, with the ability to explain how you structure prompts, validate outputs, and fold AI assistance into a disciplined engineering workflow.
• A language-agnostic mindset and evidence that you can learn new languages and frameworks as the problem requires (for example, Ruby, Go, or TypeScript/Vue in adjacent parts of the stack).
• Excellent written communication and comfort collaborating asynchronously across teams and time zones in an all-remote environment.
• Interest in helping grow others through mentoring, thoughtful code review, and sharing context as the team scales and more customers adopt Knowledge Graph.

The Knowledge Graph team sits within the data engineering organization and builds the backend service that turns GitLab's SDLC and code data into a unified property graph. We expose it through a high-performance, ClickHouse-backed query engine and MCP tools. We're a small group of senior engineers working closely with partners across AI (Duo Agent Platform), analytics, infrastructure, delivery, and security because our work touches many layers of the platform. We work asynchronously and value strong ownership: each engineer is expected to build a deep understanding of the system and help evolve it over time. As we grow adoption, we're focused on scaling the service sustainably and making it reliable and easy to operate for GitLab.com, Dedicated, and Self-Managed customers.

An overview of this role

As a Staff Backend Engineer - AI Governance at GitLab, you'll help define the technical foundation for how GitLab Duo agents are governed at enterprise scale. This role sits where AI systems, compliance, auditability, and backend architecture meet. You'll shape core systems that give customers clear visibility into AI agent activity and the controls they need to manage usage with clarity.

You'll work on backend architecture that enables auditable AI actions, policy-based governance, and enterprise reporting across the GitLab platform. This includes designing systems for AI audit events, policy enforcement, tool governance, and integrations that help organizations analyze and control how AI agents interact with code, pipelines, secrets, and other sensitive resources.

This is a high-impact role for someone ready to set technical direction early, write and review strong design proposals, and influence multiple teams. You'll partner closely with engineering teams working on GitLab Duo and adjacent platform areas to make sure governance capabilities are built into the product in a scalable and consistent way. Your work will help customers in regulated and security-conscious environments adopt AI features with greater trust and operational clarity.

What you’ll do

• Define and drive backend architecture for AI governance systems, including auditability, policy enforcement, and enterprise reporting capabilities, to improve governance coverage and enable reliable enterprise adoption.
• Design the AI audit event system, including event schema, pipelines, storage patterns, retention considerations, and export surfaces, to deliver reliable audit visibility and support customer reporting and compliance requirements.
• Build and guide the integration layer between the Duo Agent Platform and governance capabilities so agent actions can be observed and controlled at the right points in execution, reducing governance gaps across agent workflows.
• Guide technical design for tool and registry governance, including metadata models, permissions, and controls for managed tool usage, enabling safer, more consistent, and more governable tool access.
• Define backend foundations for a declarative policy framework that governs which agents and tools can be used under specific conditions, helping customers enforce governance requirements consistently across environments.
• Drive architectural consistency and implementation quality across teams by reviewing significant merge requests and contributing to technical RFCs, thus mitigating design drift as the product evolves.
• Strengthen team effectiveness and technical decision-making by mentoring other engineers, providing design guidance and feedback, and coordinating efforts across teams to raise the overall technical bar.
• Accelerate delivery and improve consistency across shared initiatives by partnering with engineering teams to align the governance architecture with existing platform patterns and the broader product direction.

What you’ll bring

• Strong experience designing and operating backend systems at scale, especially in domains that require auditability, governance, or compliance.
• Deep knowledge of authorization and access control patterns, such as role-based access control (RBAC), attribute-based access control (ABAC), and policy-as-code approaches.
• Strong Ruby on Rails experience in production SaaS environments.
• Strong Python experience, especially in systems related to AI services, orchestration layers, or service integrations.
• Experience designing REST APIs and GraphQL APIs for internal or external platform use.
• Familiarity with high-scale data and storage systems, including technologies such as Postgres and ClickHouse.
• Proven experience guiding large, cross-team technical efforts in an async, RFC-driven engineering environment.
• Communicate technical decisions clearly in writing and discussion, make sound tradeoffs during design and implementation, and influence technical direction across teams while collaborating and working effectively in a remote setting.

About the team

You'll join the AI Governance team within GitLab's Secure, Scale, and Compliance area. We focus on helping organizations gain visibility into and govern AI usage inside GitLab. Our work spans two broad problem spaces: visibility, such as audit events, usage tracking, and observability, and policy controls, such as controls that help protect projects and meet compliance requirements.

We are building this team alongside a parallel AI Governance team, with both groups contributing to different parts of a fast-changing roadmap. You'll work with a distributed group of engineers and collaborate with adjacent AI and Continuous Delivery teams as we integrate governance capabilities more deeply into the platform. It's an interesting team for engineers who want to work on emerging product challenges at the intersection of AI, compliance, and large-scale enterprise software. For more on how related teams work, see Team Handbook Page.

An overview of this role

As an Intermediate Backend Engineer on the AI Governance team at GitLab, you'll help build a paid product designed for regulated enterprise organizations that need to audit, govern, and demonstrate compliance for AI agent usage inside GitLab. This is product work with direct customer impact. You'll contribute to features that support visibility into how AI agents and related tools are used, and you'll help lay the foundation for governance controls that enterprise customers rely on.

You'll join a small team with clear product direction, technical guidance from experienced backend engineers, and meaningful ownership from the start. This role is well suited for an engineer with experience in backend development who writes solid tests and wants to grow by shipping real features in an evolving product area. You'll work in GitLab's all-remote, asynchronous environment, collaborating across teams as the AI Governance roadmap continues to expand.

What you’ll do

• Implement well-scoped backend features across the AI Governance product area, including event normalization utilities, storage layer enhancements, API endpoint additions, export support, and registry integrations, delivering production-ready work that ships on schedule.
• Build and maintain automated test coverage for your work using RSpec or equivalent tools to improve reliability and support safe, consistent releases.
• Grow your knowledge of AI governance, agent-related product architecture, and integration patterns through hands-on delivery and teamwork so you can contribute more effectively as the roadmap evolves.
• Work closely with senior and staff engineers to deliver solutions that are reliable, maintainable, and aligned with the product direction and release goals.
• Work asynchronously with cross-functional partners and nearby engineering teams working on related governance and AI capabilities to help maintain smooth delivery across teams.
• Take ownership of your scoped work and deliver with a high level of follow-through in a fast-moving product area, closing tasks with clear status updates and consistent execution.

What you’ll bring

• Demonstrated backend development experience building and shipping production features.
• Proficiency with Ruby on Rails and solid fundamentals in PostgreSQL.
• Experience building and maintaining automated test coverage with RSpec or an equivalent testing framework.
• Experience communicating clearly in writing with teammates in an async environment.
• Demonstrated ability to drive scoped work through completion and follow through on commitments.
• Experience with, or exposure to, audit event systems, telemetry pipelines, or compliance-focused tooling.
• Experience learning new technical domains and applying that understanding to product development.
• Additional experience with GraphQL APIs, event-driven architecture patterns, Python, or data-focused databases such as ClickHouse.

About the team

You'll join the AI Governance team within GitLab's Secure, Scale, and Compliance area. We focus on helping organizations gain visibility into and govern AI usage inside GitLab. Our work spans two broad problem spaces: visibility, such as audit events, usage tracking, and observability, and policy controls, such as controls that help protect projects and meet compliance requirements.

We are building this team alongside a parallel AI Governance team, with both groups contributing to different parts of a fast-changing roadmap. You'll work with a distributed group of engineers and collaborate with adjacent AI and Continuous Delivery teams as we integrate governance capabilities more deeply into the platform. It's an interesting team for engineers who want to work on emerging product challenges at the intersection of AI, compliance, and large-scale enterprise software. For more on how related teams work, see Team Handbook Page.

An overview of this role

As a Senior Backend Engineer, AI Governance at GitLab, you will help build the backend systems behind a paid product for regulated enterprise organizations that need clear visibility, policy controls, and compliance evidence for AI use inside the software development lifecycle. This role sits at the intersection of AI, governance, and enterprise backend engineering, where your work will help customers adopt AI agents with more confidence.

You will contribute across the AI Governance product surface rather than focus on a single narrow area. That includes backend work for audit event ingestion and export, role-based access control, governance features for the Model Context Protocol (MCP) registry, and storage systems for AI agent artifacts. You will work on technical problems with meaningful scope and complexity, partnering closely with the team on architecture and implementation in an async-first environment.

This is a good fit for someone who enjoys building reliable systems for enterprise use cases, designing for scale, and working in a space where product requirements are shaped by emerging AI regulations and customer governance needs. Your work will directly support organizations that need to manage AI usage with the same rigor they apply to security, compliance, and software delivery.

What you’ll do

• Implement and evolve the AI audit event pipeline, including event ingestion, schema normalization, storage design, partitioning, retention, and export capabilities.
• Implement access control for AI Governance features by integrating permissions for audit logs, policy configuration, and governance dashboards into GitLab's existing authorization model.
• Contribute backend functionality for the AI agent artifact feature, supporting structured storage and retrieval of agent run metadata alongside existing CI/CD artifacts.
• Build backend services for the MCP registry, including tool metadata and enforcement controls that can restrict or block access when needed.
• Design and optimize data models and queries for high-write, event-heavy systems using PostgreSQL and ClickHouse.
• Write and maintain solid RSpec and integration test coverage, while helping improve team test reliability practices.
• Contribute to architecture decisions and deliver implementations with ownership, while working closely with partner teams in AI and Continuous Delivery.

What you’ll bring

• Extensive experience building backend applications with Ruby on Rails in production environments.
• Proficiency in Python and experience building backend services that support AI infrastructure, gateways, or adjacent product systems.
• Extensive experience with PostgreSQL and other data-intensive databases such as ClickHouse, including schema design, partitioning strategies, and efficient query patterns for event-heavy workloads.
• Experience building REST or GraphQL APIs and designing backend systems for reliable storage, retrieval, and governance workflows.
• Solid understanding of authorization, access control, and enterprise governance concepts in web application architectures.
• Familiarity with regulatory compliance, auditability, or enterprise governance requirements, and the ability to apply them in production systems.
• Clear written communication skills and comfort working effectively in a remote, async-first team.
• Helpful experience includes audit trails, telemetry, event streaming, SIEM integrations, webhook delivery, enterprise retention requirements, AI agent infrastructure, large language models, the Model Context Protocol (MCP), or compliance, observability, and enterprise security products.

About the team

You'll join the AI Governance team within GitLab's Secure, Scale, and Compliance area. We focus on helping organizations gain visibility into and govern AI usage inside GitLab. Our work spans two broad problem spaces: visibility, such as audit events, usage tracking, and observability, and policy controls, such as controls that help protect projects and meet compliance requirements.

We are building this team alongside a parallel AI Governance team, with both groups contributing to different parts of a fast-changing roadmap. You'll work with a distributed group of engineers and collaborate with adjacent AI and Continuous Delivery teams as we integrate governance capabilities more deeply into the platform. It's an interesting team for engineers who want to work on emerging product challenges at the intersection of AI, compliance, and large-scale enterprise software. For more on how related teams work, see Team Handbook Page.

An overview of this role

As a Senior Backend Engineer at GitLab, you will help build the core capabilities of our dedicated software supply chain security Add-On. This commercial offering helps organizations control what software enters their builds, verify the integrity of what they ship, and identify malicious packages before they reach production. You will work across a set of connected backend systems that support package policy enforcement, artifact signing and verification, provenance attestation, and malicious package intelligence.

This is a founding role on a small team with a high level of responsibility. The engineering choices you make in API design, testing, performance, and security will help shape how this product grows. You will work closely with a Staff Backend Engineer on architecture and partner with other engineers to deliver secure, reliable features for enterprise customers with complex supply chain security needs. This role is well suited for someone who wants to combine solid Ruby on Rails backend skills with deep technical problems in security, platform design, and product development in GitLab's all-remote, asynchronous environment.

Some examples of our projects:

• Building backend services for package policy enforcement and dependency control
• Implementing artifact signing, verification, and provenance workflows using the Sigstore ecosystem

What you’ll do

• Design and implement backend features across the Add-On's software supply chain security surface, including policy enforcement, artifact signing and verification, provenance attestation APIs, and malicious package detection integrations, delivering secure capabilities that meet enterprise customer requirements.
• Build and improve the package policy evaluation engine, including rule compilation, request matching, enforcement decisions, and performance-sensitive execution paths tied to GitLab's Dependency Firewall infrastructure, improving accuracy, reliability, and execution performance.
• Develop artifact signing and verification workflows, including Sigstore and Cosign integrations, signing key lifecycle management, keyless signing with OpenID Connect (OIDC), and policy-based promotion gates, enabling trusted and auditable software delivery.
• Create and evolve the configuration interfaces that enterprise security teams use, including backend APIs and the GraphQL surface for expressing supply chain security requirements, improving usability and adoption for customer administrators.
• Integrate Add-On capabilities with GitLab's existing security policy framework, including policy inheritance and policy-as-code support through YAML, expanding coverage across customer security workflows.
• Collaborate with adjacent teams as malicious package intelligence is incorporated into the Add-On offering, helping deliver cohesive workflows and faster response to package risk.
• Write and maintain comprehensive RSpec and integration test coverage, and help improve test reliability across the team, increasing confidence in releases and reducing regressions.
• Review merge requests with a security-first mindset and implement solutions with substantial decision-making scope in partnership with the Staff Backend Engineer, maintaining code quality and secure engineering standards.

What you’ll bring

• Proven backend engineering experience, including production Ruby on Rails expertise, as this is the team's primary language.
• Working knowledge of Go or a clear willingness and ability to ramp up quickly in it.
• Solid API design skills, including experience with REST, GraphQL, and defining clear internal service boundaries.
• Solid PostgreSQL fundamentals, including schema design, query optimization, and indexing strategies.
• Experience with Redis for caching and distributed coordination patterns.
• A security-aware engineering mindset, with sound judgment around trust boundaries, input validation, and failure modes.
• Familiarity with software supply chain security concepts such as Supply-chain Levels for Software Artifacts (SLSA), software bill of materials (SBOM), artifact signing, or related security scanning approaches.
• Interest in complex policy, registry, or platform problems, including areas such as rules engines, package ecosystems, cryptographic signing, or DevSecOps product development.

About the team

The SSCS Add-On team is part of GitLab's Software Supply Chain Security stage and is focused on building a commercial offering that addresses real supply chain security challenges for enterprise customers. The team works on capabilities that combine multiple parts of the GitLab product into a more complete security solution for organizations with strong compliance and risk management needs.

The work is both technically interesting and strategically important. The team is building in a space shaped by fast-moving threats, evolving customer requirements, and close coordination with nearby teams across the broader security area. That combination creates an environment where engineers can contribute to product direction while solving practical backend challenges in a visible part of GitLab's platform. For more on how related teams work, see Team Handbook Page.

About the Role

Anaplan is on a mission to revolutionize business planning by connecting organizations and people to make better, faster decisions. We are seeking an expert Lead React Developer to guide our front-end engineering team in building intuitive, high-performance, and scalable user interfaces. As a technical leader, you will be responsible for the architecture, quality, and delivery of the user-facing components of our market-leading platform. You will play a critical role in shaping the user experience that empowers thousands of users to navigate complex data and make critical business decisions.

Key Responsibilities

• Lead a team of front-end developers, providing technical mentorship, guidance, and support.
• Architect and build robust, scalable, and maintainable front-end solutions using React and its ecosystem.
• Take a hands-on role in writing clean, efficient, and well-tested code, setting the standard for the team.
• Drive front-end technical strategy and roadmap, making key decisions on frameworks, libraries, and architecture.
• Lead code reviews to ensure high-quality, performance, and adherence to best practices.
• Work closely with product managers, UX designers, and backend engineers to translate requirements and designs into perfect user experiences.
• Champion best practices for front-end development, including performance optimization, accessibility, and testing.
• Mentor junior and mid-level developers, fostering a culture of technical excellence and continuous improvement.

Required Qualifications

• Extensive (8+ years) hands-on experience developing complex, large-scale web applications using React.
• Deep understanding of the React ecosystem, including Hooks, Context API, and functional components.
• Proven expertise in state management libraries such as Redux, Zustand, or Recoil.
• Strong proficiency in JavaScript (ES6+) and TypeScript.
• Expertise in modern front-end build tools and package managers (e.g., Webpack, Vite, npm, Yarn).
• Solid experience with front-end testing frameworks like Jest and React Testing Library.
• Experience with RESTful APIs and/or GraphQL.
• Demonstrated experience in a technical leadership or mentorship role.
• Excellent problem-solving skills and the ability to communicate complex technical concepts effectively.

Preferred Qualifications

• Bachelor's degree in computer science or a related field.
• Experience building and maintaining component libraries or design systems.
• Strong knowledge of web performance optimization techniques.
• Familiarity with web accessibility standards (WCAG).
• Experience working in a SaaS or enterprise software environment.
• Familiarity with CI/CD pipelines and agile development methodologies.

What Makes This Role Exciting

As a Lead FE Developer at Anaplan, you will be at the forefront of building the user interface for a powerful and complex platform used by major global enterprises. You will have the autonomy to make significant architectural decisions and the opportunity to guide a talented team. This is a chance to solve challenging technical problems, directly influence the user experience, and see your work have a tangible impact on how businesses operate and plan for the future.

We are seeking a talented mid-level Software Developer to join our growing engineering team as an individual contributor. You will work closely with our Engineering Manager and cross-functional teams to build scalable web applications and cloud-based solutions using modern technologies. This role offers the opportunity to contribute to architectural decisions while focusing on delivering high-quality code and technical solutions.

Key Responsibilities

• Develop and maintain scalable web applications using .NET Framework/Core/5+ and modern UI frameworks
• Develop, maintain and modernize Excel integrated .Net add-in for existing client base.
• Write clean, maintainable, and well-tested code following established engineering best practices
• Collaborate with engineering teams, product management, and design to implement technical solutions
• Participate in code reviews and contribute to improving development standards and processes
• Build and maintain RESTful APIs and integrate with third-party services
• Work with cloud platforms (Azure/AWS) to deploy and maintain applications
• Contribute to technical design discussions and architectural decisions
• Implement automated testing strategies and participate in CI/CD pipeline development
• Troubleshoot and resolve technical issues across the full software development lifecycle
• Participate in Agile/Scrum ceremonies and contribute to sprint planning and estimation
• Stay current with emerging technologies and recommend improvements to existing systems
• Mentor junior developers and contribute to knowledge sharing within the team

Required Qualifications

• 3-5 years of professional software development experience
• Strong proficiency in .NET framework and .NET Core/5+ development
• Experience with modern UI frameworks (Angular, React, or Vue.js)
• Solid understanding of web development fundamentals (HTML, CSS, JavaScript)
• Experience with cloud platforms, preferably Azure or AWS
• Proficiency in database design and development (SQL Server, PostgreSQL, or similar)
• Understanding of software architecture patterns and design principles
• Experience with version control systems (Git) and collaborative development workflows
• Knowledge of API design and development (REST, JSON)
• Familiarity with Agile/Scrum methodologies
• Strong problem-solving skills and attention to detail
• Excellent communication and collaboration abilities
• Bachelor's degree in Computer Science, Engineering, or related field, or equivalent experience

Preferred Qualifications

• Experience in Windows client application development
• Experience with containerization technologies (Docker, Kubernetes)
• Knowledge of DevOps practices including CI/CD pipelines and infrastructure as code
• Experience with automated testing frameworks and test-driven development
• Familiarity with microservices architecture and distributed systems
• Experience with NoSQL databases and data modeling
• Knowledge of GraphQL and modern API development practices
• Experience with monitoring and logging tools (Application Insights, New Relic, etc.)
• Understanding of security best practices and secure coding principles
• Experience with mobile development or full-stack development
• Knowledge of performance optimization and scalability considerations
• Previous experience in a startup or high-growth technology environment

What We Offer

• Competitive salary and comprehensive benefits package
• Opportunity to work with cutting-edge technologies and contribute to technical decisions
• Professional development opportunities and conference attendance support
• Flexible work arrangements with remote work options
• Collaborative team environment with experienced engineering leadership
• Health, dental, and vision insurance
• Generous PTO and parental leave policies
• Performance-based bonuses and growth opportunities
• Modern development tools and collaborative workspace

Role: Senior Software Engineer / Principal Software Engineer            

Office Location: Bangalore

We write our code leveraging the Microsoft stack (ReactJS, .NET Core, MS SQL Server , PostgreSQL, AWS).  We’re relentless, curious, and doing the right thing is a tenet of the team’s approach to solving business problems. We are flexible and collaborative. We all enjoy our work and helping one another is baked into our operating DNA. We believe in Agile software development principles. We are huge proponents of SOLID principles.

The Software Engineer at Analytical Wizards:

• Has  5+ years of experience in a fast-paced Agile software development environment
• Ensures software is built, according to business and technical specifications, on top of an error-free and high-performing platform
• Innovates!
• Performs code reviews and QA on team members’ work items
• Participates in Agile ceremonies
• Mentors more junior members of the team
• Is always thinking of better ways to do something
• Isn’t afraid to fail
• Cares deeply about quality
• Can deliver high-quality software with minimal supervision

Required Skills:

• Experience of 5+ years experience in C#, .NET & .NET Core (5 & above)
• Solid computer science fundamentals - OOP concepts, SOLID principles & design patterns
• Experience with any relational databases (MS SQL / MySQL /Postgres)
• Experience working with public cloud like Azure/AWS/GCP (AWS is preferred)
• Experience with containerization using Docker & microservices
• Experience developing RESTful APIs
• Understanding of various types of testing (unit, system, integration, performance)
• General familiarity with cloud computing and serverless architectures

Preferred Skills:

• Experience in front-end development (React, JavaScript, KendoUI)
• Exposure to GraphQL (HotChocloate)
• Exposure to DataDog or similar logging & monitoring tool
• Familiarity with NoSQL databases (MongoDB /DocumentDB)

Why we love Analytical Wizards, and why you will too!

• Industry leading products
• Work hard, and have fun doing it
• Incredibly fast growth means limitless opportunity
• Flexible and dynamic culture
• Work alongside some of the most talented and dedicated teammates
• A collaborative and friendly culture with very high employee engagement

About Company

Company Name: AnalyticalWizards Services Pvt. Ltd.

Profile: A leading, high growth Analytics Software Development company developing products that touch and positively impact human lives across the globe. We are headquartered in New Jersey and have a software development and delivery center in Bangalore. Our work is mainly focused on Healthcare Industry. We develop core data science products that help our clients draw unique insights from their big data and achieve their business goals. We use advanced algorithms in the space of artificial intelligence and machine learning. Our technology-based software products are being used by the top pharma and biotechnology companies of the world. We have been recognized twice as one of fastest growing private companies of USA.

Work Culture: Employee-friendly, collaborative, innovative, fast-paced, and conducive to learning

Company Address: AnalyticalWizards Services Private Limited, Fortune Summit Business Park, Ground Floor, Hosur Road, Sector 6, HSR Layout, Roopena Agrahara, Bangalore - 560068

Industry: Software Development and Data Science

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 

What’s in it for you?

Opportunity To Unlock Your Creativity
Think of all the times you were held back from trying new ideas because you were boxed in by bureaucratic legacy processes or old school tactics. Having a growth mindset is deeply ingrained into our company culture since day 1 so Fictiv is an environment where you have the creative liberty and support of the team to try big bold ideas to achieve our sales and customer goals.

Opportunity To Grow Your Career
There are plenty of jobs out there. The question is whether any of them will help you grow in your career? Will you be challenged by teammates to achieve your potential? Or are they roles that will ask you to do more of what you’ve already mastered. At Fictiv, you’ll be surrounded by supportive teammates who will push you to be your best through their curiosity and passion.

Impact In This Role
Fictiv is a fast growing start-up based in San-Francisco, California - it was founded in 2013 and is revolutionising the $13 trillion manufacturing industry with a cloud-based, AI-powered platform. Fictiv’s software driven approach to manufacturing simplifies and accelerates the entire product development cycle, from prototype to production. The Fictiv Digital Manufacturing Ecosystem pairs intelligent workflow and collaboration software with a global network of highly vetted manufacturers. Fictiv’s combination of an easy-to-use cloud platform; design, quoting, billing and logistics systems; and an intelligent orchestration engine that manages our manufacturing partner network helps deliver high-quality mechanical parts at unprecedented speeds. At a time when manufacturing has become more global but remains rooted in outdated and time-intensive processes, Fictiv’s modern approach has proven to be a disruptive force in hardware manufacturing. Embraced as a trusted partner, Fictiv is transforming the way in which Silicon Valley innovators in electric and autonomous automobiles, medical robotics and consumer electronics deliver the next generation of products.

Fictiv is expanding it’s engineering team in Pune, India - we are looking for talented engineers to join us in building a highly available, performant system that scales globally with our fast-growing business.

What You’ll Be Doing

• Technical expertise – You are fluent in writing code, and possess a solid understanding of the technical domain and concepts. You have some experience in building highly available, business critical systems in cloud environments (AWS ecosystem preferred) using Node.js.
• Delivery – You consistently deliver high quality, maintainable, and defect-free code. You believe testing is an important part of creating quality software. Given an approach, you are able to deliver high quality, maintainable work (including code, tests, and documentation) without further assistance.
• Collaboration – You work well with adjacent teams and stakeholders to clarify understanding and solve problems. You proactively communicate the status of tasks and the impact on the project. You actively participate in technical design reviews and discussions.
• Team-oriented – You have a strong desire to help the team improve our collective craft. You assist in debugging production issues and handling blockers, even if you didn’t cause the problem.

Desired Traits

Your skills include -
- 3+ years of relevant experience
- Tech Stack: Node.js, JavaScript / TypeScript, GraphQL, and AWS services such as SQS, Lambdas, EC2 and RDS
- Proficiency with building backend APIs and integrations
- Experience and willingness to write unit and integration tests
- Experience developing/versioning/maintaining REST or GraphQL APIs
- Experience with SQL & No-SQL databases
- Experience with event systems such as queues, iPaaS, event buses
- Experience with distributed systems / caching / security (OWASP Top 10) is a strong plus

Interested in learning more? We look forward to hearing from you soon.

Impact In This Role

At Fictiv, we enable product innovators to create. Our platform accelerates product creation, allowing our customers to push technological boundaries – from self-driving cars to low-cost water purification systems.We are looking for an Engineering Manager who can provide strong technical leadership while guiding and developing a high-performing engineering team.This role combines deep technical expertise with people leadership, focusing on building reliable, scalable solutions while mentoring engineers and fostering a culture of engineering excellence and continuous growth.

What You’ll Be Doing

Build a high-performing team where engineers can do their best work

-Coach, mentor, and develop engineering talent through regular feedback, performance management, and career growth planning, while helping scale the team as needed.

-Collaborate with business and technical stakeholders to gather requirements, clarify objectives, and translate needs into scalable technical solutions and platform capabilities.

-Establish and continually improve team processes to enable iterative delivery, innovation, and high reliability

-Drive near- and long-term improvements to engineering-wide activities such as development practices, hiring / onboarding, team cohesion, and incident response

-Resolve systemic obstacles to team health, system performance, and team delivery

-Embrace and extend a culture of transparency, safety, and growth.

Desired Traits

Management & Leadership Experience

• 12-15 years of professional software engineering experience, with 3+ years in an engineering management role.
• Experience managing technical teams of 5-8 engineers with demonstrated ability to scale teams.
• Demonstrated experience in project planning and execution, including scope definition, prioritization, risk management, and delivery tracking across multiple work streams.
• Strong ability to manage cross-functional dependencies and drive alignment across engineering and product teams while leading delivery using Agile methodologies (Scrum/Kanban), including sprint planning, milestone management, and stakeholder communication.
• Track record of building high-performing teams and developing engineering talent
• Proven ability to balance competing priorities while ensuring on-time delivery, quality, and long-term platform scalability.
• Work with business stakeholders to understand requirements and translate them into scalable technical solutions.

Technical Expertise

• Strong working experience in platform and API development using Node.js and GraphQL, frontend enablement using React and TypeScript/JavaScript.
• Proven experience designing, deploying, and operating cloud-native services on AWS, with an understanding of scalability, security, and cost optimization.
• Ability to remain sufficiently hands-on to review technical designs, guide complex implementations, and unblock teams when required.
• Strong understanding of distributed systems, API design, and modern DevOps practices, including CI/CD, observability, and operational readiness.
• Demonstrated technical judgment and problem-solving skills, with the ability to make informed trade-offs.

Communication And Collaboration Skills

• Excellent written and verbal communication skills.
• Ability to communicate technical information to both technical and non-technical audiences.
• Strong interpersonal skills and the ability to work effectively in a team.
• Ability to collaborate with cross-functional teams and stakeholders.

Role Overview 

We’re looking for Backend Engineers to lead the design and delivery of SaaS products that are powered by data, machine learning, and AI. 

You’ll be the senior technical owner for one or more product areas, working across , backend, systems, and cloud infrastructure to: 

• Ship high-quality data/ML/AI powered features end-to-end 

• Integrate data/ML/AI capabilities into real customer workflows 

• Raise the bar on design, reliability, performance, and engineering practices across the org 

This is a hands-on senior role: you’ll write code, review designs, mentor senior engineers, and collaborate closely with product, design, data, and ML teams. 

What You’ll Do 

• Own the architecture and technical direction for key product areas in a multi-tenant SaaS platform. 

• Work with product, design, and data/ML teams to translate business problems into simple, robust technical solutions. 

• Drive the evolution of our system architecture (APIs, services, data flows, auth, tenancy, integrations) as the product and customer base scale. 

End-to-End Full-Stack Product Delivery 

• Build and maintain backend services and APIs (REST/GraphQL/gRPC) that power those experiences. 

• Deliver backend features end-to-end including data schemas and business logic. 

• Collaborate with UX and product to ensure responsive and delightful product experiences. 

Data / ML / AI Integration 

• Partner with data scientists and MLOps / platform teams to embed data, ML and AI capabilities into the product (recommendations, categorization, automation, routing, insights, LLM-powered workflows, etc.). 

• Design APIs, data contracts, and UX flows that make ML/AI features reliable, understandable, and safe for customers. 

• Ensure telemetry and feedback loops are in place so data/ML teams can measure performance, iterate models, and improve outcomes. 

• Help define and implement guardrails for AI features (fallbacks, explanations, error handling, permissions). 

Operational Excellence 

• Champion operability: monitoring, alerting, logging, and runbooks for services you own. 

• Lead efforts to improve performance, scalability, and resilience of critical paths (e.g., onboarding, reporting, AI-assisted workflows). 

• Work with security and compliance to ensure features meet requirements around authentication, authorization, data privacy, and multi-tenancy. 

• Participate in and help evolve on-call / incident response processes as a technical leader. 

Engineering Excellence & Leadership 

• Act as a technical mentor for multiple teams, raising the bar on code quality, reviews, testing, and design. 

• Lead technical design reviews and cross-team architecture discussions, especially where product, data, and ML intersect. 

• Help define engineering standards and best practices (API design, frontend patterns, error handling, observability, testing). 

• Partner with engineering management to shape roadmaps, staffing, and sequencing for major initiatives. 

What You’ll Bring 

Experience 

• 10+ years of software engineering experience 

• Demonstrated experience shipping data/ML/AI powered SaaS products, 

• Strong track record of owning and shipping complex, user-facing features end-to-end in collaboration with product management and UX. 

• Experience as a senior member of the technical staff in guiding teams and owning critical production systems. 

Technical Skills 

• Strong proficiency with at least one backend stack, for example: 

• Node.js/TypeScript, Java,  Go, Rust, or similar 

• Designing and building APIs, services, and integrations 

• Proficiency with Python and data analysis/modeling tools (e.g. pandas/pytorch) 

• Solid understanding of data modeling and storage: relational databases, caching, and basic data warehousing concepts. 

• Familiarity with data/ML/AI concepts: 

• How ML models or LLMs are exposed as services 

• Typical failure modes, latency/throughput considerations, and guardrails 

• Experience with cloud platforms (AWS / GCP / Azure), containers, and infrastructure (networking, scaling, security). 

• Strong habits around testing, CI/CD, code reviews, and incremental delivery. 

Mindset & Soft Skills 

• Product-minded engineer who cares about customer problems, usability, and outcomes, not just code. 

• Systems thinker who can balance short-term delivery with long-term architectural health. 

• Excellent communicator, comfortable driving alignment across engineering, product, data, and go-to-market teams. 

• Enjoys mentoring and multiplying the impact of other engineers. 

Role Overview 

We’re looking for Backend Engineers to lead the design and delivery of SaaS products that are powered by data, machine learning, and AI. 

You’ll be the senior technical owner for one or more product areas, working across , backend, systems, and cloud infrastructure to: 

• Ship high-quality data/ML/AI powered features end-to-end 

• Integrate data/ML/AI capabilities into real customer workflows 

• Raise the bar on design, reliability, performance, and engineering practices across the org 

This is a hands-on senior role: you’ll write code, review designs, mentor senior engineers, and collaborate closely with product, design, data, and ML teams. 

What You’ll Do 

• Own the architecture and technical direction for key product areas in a multi-tenant SaaS platform. 

• Work with product, design, and data/ML teams to translate business problems into simple, robust technical solutions. 

• Drive the evolution of our system architecture (APIs, services, data flows, auth, tenancy, integrations) as the product and customer base scale. 

End-to-End Full-Stack Product Delivery 

• Build and maintain backend services and APIs (REST/GraphQL/gRPC) that power those experiences. 

• Deliver backend features end-to-end including data schemas and business logic. 

• Collaborate with UX and product to ensure responsive and delightful product experiences. 

Data / ML / AI Integration 

• Partner with data scientists and MLOps / platform teams to embed data, ML and AI capabilities into the product (recommendations, categorization, automation, routing, insights, LLM-powered workflows, etc.). 

• Design APIs, data contracts, and UX flows that make ML/AI features reliable, understandable, and safe for customers. 

• Ensure telemetry and feedback loops are in place so data/ML teams can measure performance, iterate models, and improve outcomes. 

• Help define and implement guardrails for AI features (fallbacks, explanations, error handling, permissions). 

Operational Excellence 

• Champion operability: monitoring, alerting, logging, and runbooks for services you own. 

• Lead efforts to improve performance, scalability, and resilience of critical paths (e.g., onboarding, reporting, AI-assisted workflows). 

• Work with security and compliance to ensure features meet requirements around authentication, authorization, data privacy, and multi-tenancy. 

• Participate in and help evolve on-call / incident response processes as a technical leader. 

Engineering Excellence & Leadership 

• Act as a technical mentor for multiple teams, raising the bar on code quality, reviews, testing, and design. 

• Lead technical design reviews and cross-team architecture discussions, especially where product, data, and ML intersect. 

• Help define engineering standards and best practices (API design, frontend patterns, error handling, observability, testing). 

• Partner with engineering management to shape roadmaps, staffing, and sequencing for major initiatives. 

What You’ll Bring 

Experience 

• 10+ years of software engineering experience 

• Demonstrated experience shipping data/ML/AI powered SaaS products, 

• Strong track record of owning and shipping complex, user-facing features end-to-end in collaboration with product management and UX. 

• Experience as a senior member of the technical staff in guiding teams and owning critical production systems. 

Technical Skills 

• Strong proficiency with at least one backend stack, for example: 

• Node.js/TypeScript, Java,  Go, Rust, or similar 

• Designing and building APIs, services, and integrations 

• Proficiency with Python and data analysis/modeling tools (e.g. pandas/pytorch)