We’re hiring someone who does both — and does both at speed.

This role sits inside the Central AI Initiatives team within the Marketing Team. You will own the full loop: identify a high-impact business problem, conceive the AI-powered solution, build the production system, ship it, and own the outcome — as a single person. The problems change every few weeks as the company’s priorities shift. One month you’re building a multi-agent system for merchant risk detection. The next, you’re deploying an ops copilot that processes 20,000+ events a day. What stays constant is the expectation that you close the loop end-to-end — from a messy business brief to a live system with metrics moving — in days, not quarters. This is not a research role. It is not a PM role. It is not a data science role. It is a builder role that requires all three — simultaneously.

You Know Who You Are You have deep expertise across the full building journey:

1. Decompose business problems from first principles. When a messy brief lands, you break it into data, models, integrations, automations, and human touchpoints — and make the right call on what to build vs. buy vs. defer.
2. Design and build the full system yourself. Architecture, backend services, data pipelines, LLM orchestration, frontend — you own the spec nobody writes for you. You write production code, not demos that die after a meeting.
3. Ship to production and own the outcome. Phased rollouts, alert thresholds, business metrics. When something breaks, you fix it. When numbers are below target, you know Why.
4. Switch altitude — technical depth to C-suite context. Debug a model’s internals in the morning. Present the roadmap to leadership in the afternoon. Review legal terms for an AI partnership before end of day.
5. Multiply AI capability across the organisation. You make teams across Sales, Marketing, Risk, and Engineering better at identifying and executing AI opportunities on their own — through frameworks, reference tools, and workshops that change Behaviour.

You’ve been using AI tools for over a year — Claude Code or Cursor is your default environment, not a novelty. You orchestrate agents, build with skills and MCPs. AI assistance is muscle memory. You’re a polyglot — picking up new stacks fast because AI handles the ramp. You thrive in ambiguity and default to action.

You will be a good fit if you bring

– Founder mindset: you’ve started something (a company, a product, a team) and taken it from zero to live with your own hands. You don’t wait for specs.
– 3–5 years building software with at least 1–2 years building AI/ML-powered products in production. Depth matters more than years — the right 2-year person beats the wrong 8-year person every time.
– Full-stack capability: backend services, data pipelines (Kafka, Airflow), LLM orchestration (OpenAI, Anthropic, Gemini), frontends (React), and deployment infrastructure (GCP, Docker). You don’t wait for other teams to unblock you.
– LLM & agent depth: hands-on with multi-agent systems, RAG, prompt engineering, and production AI pipelines — not just API wrappers.
– Product instinct: you ask “why” before “how.” You can scope a business problem down to a shippable prototype and articulate business value to non-technical stakeholders.
– Speed & autonomy: you can take a problem from discovery to demo in under two weeks. You move faster than the process and create structure only where it helps.
– Influence without authority: you align stakeholders across Sales, Risk, Engineering, and Legal by being clear, credible, and fast — without having direct reports in any of those functions.

You will not be a good fit if you

You need detailed specs handed to you. You prefer deep specialisation over breadth. You’re uncomfortable with ambiguity. You optimise for code elegance over customer outcomes. You hand off after designing or after shipping. You treat “not my job” as a valid answer. You need a stable roadmap to do your best work. You still thrive living in a 2-week sprint.

What the work has looked like

Projects change frequently. Recent examples from this team:

– Browser-based AI Agent — autonomous web navigation agent that crawls merchant websites, detects payment gateways at checkout, and places test orders. Used by Risk Ops for mystery shopping and fraud detection. Headless browser + LLM-driven navigation + real-time Slack alerting.
– Ops Copilot Platform — full-stack employee activity intelligence: Rust-based macOS agents for screen OCR and audio transcription (Whisper), centralised server (Bun + Hono + PostgreSQL), React dashboard with WebSocket streaming, VLM-powered workflow extraction.
– Pre-Churn Alerting — Airflow DAGs processing risk events and merchant data to generate daily intelligence alerts delivered to Slack for proactive retention.
– Analytics Platform Rollout — end-to-end evaluation, procurement, legal approval, and org-wide rollout of PostHog as the product analytics platform. 

How to apply

We screen on one thing before anything else: evidence that you have built something technically demanding end-to-end and taken it live.
– Send a note (300–500 words) on the most technically complex system you’ve built — the problem it solved, the architecture choices, what broke in production and how you fixed it, and what you’d do differently now.
– Optionally: a link to something running in production, a GitHub repo with real commits, or a case study.

If the note shows the instincts we’re looking for, we’ll reach out within a week. The process is short: one technical problem set, two focused conversations, a final discussion with the team Lead. 

Why Razorpay

1. Scale that matters — billions of transactions, thousands of merchants. What you build goes live on India’s largest payments platform. You know within weeks whether it Worked.
2. Impact at scale — help transform India’s leading payments platform into the country’s first AI-native payments company. The problems are core: merchant growth, payment routing, revenue expansion — not peripheral. 3. Small team, real autonomy — no bureaucracy between your idea and production. Direct access to the CEO and VP Engineering. If the idea is good, it ships.

About Us

Razorpay was founded by Shashank Kumar and Harshil Mathur in 2014. Razorpay is building a new-age digital banking hub (Neobank) for businesses in India. Our mission is to enable frictionless banking and payments experiences for businesses of all shapes and sizes. We started as a B2B payments company, and today, we process billions of dollars of payments for lakhs of businesses across India. We are the leading payments provider in the country and have been the first to bring to market most major innovations in the past 7 years. Razorpay currently processes multi-billion dollar payments on an annualised basis, touching 200Mn+ end customers through top clients like Airtel, Goibibo, Yatra, Ola, Swiggy, Zomato, Cred etc. We have raised around USD $740M+ in funding from marquee investors like GIC, Alkeon Capital, Lone Pine Capital, TCV, Sequoia Capital, Tiger Global, Ribbit Capital, Matrix Partners and many stellar angels.

• Adversarial Engineering: Design and implement Python-based distributed frameworks capable of orchestrating millions of concurrent IO operations to hunt down race conditions and memory leaks.
• AI-Augmented Validation: Be at the forefront of the AI-Native transformation. You will leverage LLMs and Generative AI to automate complex scenario generation, build intelligent agents for root-cause analysis, and multiply your engineering velocity.
• Simulation & Chaos: Build the "Entropy Engine." You will develop tools that inject real-world failures - latency, packet loss, and hardware crashes - to prove the resilience of our Raft and RDMA implementations.
• Deep-System Observability: Move beyond "Pass/Fail." You will build telemetry pipelines to track P99 latency and jitter, providing critical architectural feedback to the Core Kernel teams.
• Collaborative Architecture: You will operate with the same rigorous standards as the Core R&D team: design docs, production-grade code reviews, and high-level architectural planning.

• Extensive Coding experience: You are a Python expert who understands "under the hood" internals. You are comfortable reading and debugging C++, Rust, or Go to understand how the core system works.
• Systems Engineering Mindset: You have a background in distributed systems, networking (TCP/IP, RDMA), or storage protocols. You understand the complexities of consistency and metadata at scale.
• AI Enthusiast: You are an early adopter of AI tools (Copilot, LLMs) and are excited about using them to automate the most tedious parts of the engineering lifecycle.
• The "SRE" Lens: You approach quality through the lens of Site Reliability Engineering. You care about observability, MTTD (Mean Time to Detection), and building self-healing testing loops.
• Problem Hunter: You have a "hacker" instinct. You don’t just find a bug; you find the architectural flaw that allowed it to exist.

P-1385

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started in Bengaluru , India ! As a software engineer with a backend focus, you will work with your team to build infrastructure for the Databricks platform at scale.

The impact you'll have:

Our backend teams cover a diverse range of domains, from core compute fabric resource management to service platforms and infrastructure. For example, you might work on challenges such as:

• Supporting Databricks' growth by building foundational infrastructure platforms that enable seamless operation across numerous geographic regions and cloud providers.
• Implementing cloud-agnostic infrastructure abstractions to help Databricks engineers more efficiently manage and operate their services.
• Develop tools and processes that drive engineering efficiency at Databricks. We enhance the developer experience for Databricks engineers across various areas, including programming languages, linters, static analysis, IDEs, remote development environments, automated release pipelines, and test automation frameworks. Our current focus is on optimizing the Rust development experience across the organization.

What we look for:

• BS (or higher) in Computer Science, or a related field
• 6+ years of production level experience in one of: Python, Java, Scala, C++, or similar language.
• Experience developing large-scale distributed systems from scratch
• Experience working on a SaaS platform or with Service-Oriented Architectures
• Proficiency in one or more backend languages such as Java, Scala, or Go.
• Hands-on experience in developing and operating backend systems.
• Ability to contribute effectively throughout all project phases, from initial design and development to implementation and ongoing operations, with guidance from senior team members.

(P-1174)

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. 

Networking Infrastructure is a core part of the platform that powers all our data and AI products. The platform also powers key enterprise security features used by customers across all our products to build connectivity solutions to cloud resources and prevent data exfiltration.

We are seeking an experienced Sr. Staff Software Engineer with deep networking expertise to help shape the future of Databricks’ Networking Infrastructure. As one of the early members of the rapidly growing Bangalore site, you will play a critical role in defining the technical vision and architecture for next-generation network connectivity & observability services that will power & manage millions of VMs across multiple clouds. 

In this role, you will own and drive the design of large-scale connectivity platforms that form the backbone between Databricks’ control plane and compute plane. These platforms are foundational to improving the scalability, reliability, and efficiency of our compute infrastructure, while enabling more intelligent and cost-effective use of cloud resources.

You will operate at an org-wide level, setting technical direction, leading complex cross-team initiatives, and mentoring senior engineers. You’ll work closely with product management, operations, and partner engineering teams to translate long-term business goals into durable, extensible networking systems. This role requires both hands-on technical leadership and the ability to influence architecture and execution across teams.

This is a unique opportunity for a senior technical leader who enjoys working in ambiguous problem spaces and is motivated by solving novel, multi-cloud distributed systems challenges at massive scale.

What we look for:

• 15+ years of production level experience in one of: Rust, Java, Scala, C++, or similar language
• 10+ years of experience developing large-scale distributed systems from scratch
• Experience working on a SaaS platform or with Service-Oriented Architectures.
• Experience with cloud networking, kubernetes, infrastructure automation languages like terraform, cloudformation, etc.

MariaDB is making a big impact on the world. Whether you’re checking your bank account, buying a coffee, shopping online, making a phone call, listening to music, taking out a loan or ordering takeout – MariaDB is the backbone of applications used everyday. Companies small and large, including 75% of the Fortune 500, run MariaDB, touching the lives of billions of people. With massive reach through Linux distributions, enterprise deployments and public clouds, MariaDB is uniquely positioned as the leading database for modern application development.

The Opportunity

The Senior Software Engineer, Runtime Team is responsible for developing MariaDB Server components outside of the optimizer, replication, and certain storage engines. This includes query parsing, preparation, execution; plugins, some storage engines, and the server's utility set. Senior Software Engineers are critical in delivering robust software solutions that meet customer needs and align with project requirements.

Responsibilities

• Develop high-quality software solutions based on technical requirements and design specifications.
• Collaborate with cross-functional teams to understand project goals and requirements.
• Participate in code reviews to maintain code quality and consistency.
• Troubleshoot and debug software defects.
• Stay updated on programming languages, frameworks, and industry best practices.

Qualifications

• 8+ years of experience in software development
• 3+ years of experience in server / backend development
• Solid understanding and experience with MariaDB Enterprise Server and/or other RDBMSs
• Strong knowledge in C/C++ (Server side experience with Java or Rust, is also benefical)
• Development experience within a multi-threaded Server environment
• Development experience within a Unix/Linux environment
• Deep understanding of algorithms, data structures and their runtime complexities.
• Good knowledge of SQL, familiarity with NoSQL concepts
• BS/MS in Computer Science, Computer Engineering or higher
• Good written and spoken communication skills in English

Location - India (remote)

Travel - Not required

What's in it for you?

Impact the world of technology by pushing the boundaries of technology and business models, working at MariaDB, plc. Be part of a game-changing organization that encourages outside-the-box thinking, values empowerment, and is truly shaping the future of the software industry. 

You’ll be collaborating with high-caliber colleagues around the world, offering unparalleled learning and growth opportunities. We provide a very competitive compensation package, 25 days paid annual leave (plus holidays) and a massive degree of flexibility and freedom, and more.

Salaries for candidates outside the U.S. will vary based on local compensation structures.

How to Apply

If you are interested in this position, please submit your application along with your CV/Resume through our ATS Greenhouse on our MariaDB Careers site.

• At MariaDB we celebrate the diverse experiences and perspectives of our employees because this drives innovation and success. MariaDB is an equal opportunity employer dedicated to creating a welcoming and inclusive workplace for everyone.
• MariaDB does not sponsor work visas or relocation.
• MariaDB is committed to providing accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.
• MariaDB will not accept agency resumes without a prior contractual agreement with HR. Please do not forward resumes to any recruiting alias or employee directly. MariaDB is not responsible for paying any fees associated with any unsolicited submitted CV/Resumes.

• Joining a team that owns several critical areas, including DNS, load balancing, and multiple proprietary software-defined networking applications
• Developing software features and tooling to support organizational objectives such as automation of infrastructure provisioning and configuration, improving resiliency and self-healing, and enhancing observability
• Participating in an on-call rotation to organize responses to production incidents
• Implementing observability measures including monitoring, alerting, and dashboards for critical infrastructure and software deployments
• Facilitating onboarding of internal customers to the team’s offered solutions
• Creating documentation and runbooks for components owned by PE
• Conducting non-functional testing to validate infrastructure and software performance and resiliency requirements

• 2+ years of experience working in a Dev, Ops, DevOps, SRE or similar role
• Working knowledge of networking fundamentals
• History of leveraging AI to amplify your skills and scale your efforts
• Strong command of Linux CLI tools (mtr, ping, ip, netcat, dig, tcpdump)  and Linux-based tech stacks
• Excellent written and verbal communication skills
• Excellent Python, Rust or Golang programming skills
• Expertise in one or more of the following - observability implementation, incident response, DNS, load balancing, networking
• Experience with configuration management and infrastructure as code using ansible, salt, terraform or similar tools is preferred but not required.

• BSCS or equivalent required, MSCS or equivalent strongly preferred

#LI-RS1

Position Overview

We are looking for a Robotics Engineer specializing in Deployment & Testing to help further the performance and capabilities of Skild AI’s world-class high-level software and products through formalized, rigorous testing. You will design and implement automated software tests and the ecosystems in which they run. As a critical member of the robotics team, you will have an important role in defining the quality standards of our software while accelerating its development.

Responsibilities

• Define, implement, and maintain comprehensive regression tests for Skild AI’s software and products.
• Design and organize test plans according to priority, impact, risk, and feasibility.
• Debug and troubleshoot failures in complex scenarios while testing and/or deployment at customer sites.
• Maintain robots and ensure they are deployment ready.
• Recreate corner cases from production logs into repeatable tests.
• Collaborate closely with robotic software developers and machine learning engineers and provide feedback on what needs to be improved to produce and sustain a top-quality product that meets customer expectations.

Preferred Qualifications

• BS, MS or higher degree in Computer Science, Robotics, Engineering or a related field, or equivalent practical experience.
• Proficiency developing in low-level systems languages (C, C++, Rust, Go) and Python.
• Experience with complex software systems working in real-time with embedded systems.
• Experience with Test Management and Requirements software.
• Experience with ROS/ROS2 or other robotics middleware platforms.
• Previous work experience as a Test Engineer.
• Prior experience developing and deploying software on real robots.
• Deep understanding and practical experience with software engineering principles, including algorithms, data structures, and system design.
• Familiarity with machine learning integration and deployment in robotic systems.

Position Overview

We are looking for a Software Engineer to work at the forefront of deploying our cutting-edge AI models, enhancing the performance and capabilities of our embodied systems. You will be responsible for optimizing AI inference processes from lightweight to billion-parameter models, ensuring our robots operate with unmatched efficiency and intelligence in real-world environments. You will work at the intersection of systems and machine learning, directly contributing to making our AI models more powerful and adaptive by ensuring consistent performance in light of variable and perhaps unforeseen compute and hardware constraints.

Responsibilities

• Develop and optimize runtime AI inference pipelines for real-world robotic deployment.
• Build infrastructure, frameworks, and tooling to enable reliable integration of models into robotic systems and informative analysis of production models to drive the direction of architecture choice and deployment system design.
• Formulate specialized optimization solutions for various inference paradigms and scenarios (autoregressive models, denoising models, hierarchical models, state machines, multi-agent systems, cloud-based inference).
• Adapt optimization solutions to various compute, hardware, and networking constraints.

Preferred Qualifications

• BS, MS or higher degree in Computer Science, Robotics, Engineering or a related field, or equivalent practical experience.
• Minimum of 3 years of industry experience.
• Proficiency developing in low-level systems languages (C, C++, Rust, Go), Python and at least one deep learning library such as PyTorch, TensorFlow, JAX, etc.
• Deep understanding and practical experience with low-level systems concepts (multithreading, networking, embedded systems, memory management).
• Experience with CUDA.
• Deep understanding of state-of-the-art machine learning techniques and models.
• Experience optimizing various machine learning architectures.
• Experience with machine learning compilers.
• Experience optimizing model inference for robotic systems deployment.

P-1533

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. 

Networking Infrastructure is a core part of the platform that powers all our data and AI products. The platform also powers key enterprise security features used by customers across all our products to build connectivity solutions to cloud resources and prevent data exfiltration.

We are seeking an experienced Sr. Staff Software Engineer with deep networking expertise to help shape the future of Databricks’ Networking Infrastructure. As one of the early members of the rapidly growing Bangalore site, you will play a critical role in defining the technical vision and architecture for next-generation network connectivity & observability services that will power & manage millions of VMs across multiple clouds. 

In this role, you will own and drive the design of large-scale connectivity platforms that form the backbone between Databricks’ control plane and compute plane. These platforms are foundational to improving the scalability, reliability, and efficiency of our compute infrastructure, while enabling more intelligent and cost-effective use of cloud resources.

You will operate at an org-wide level, setting technical direction, leading complex cross-team initiatives, and mentoring senior engineers. You’ll work closely with product management, operations, and partner engineering teams to translate long-term business goals into durable, extensible networking systems. This role requires both hands-on technical leadership and the ability to influence architecture and execution across teams.

This is a unique opportunity for a senior technical leader who enjoys working in ambiguous problem spaces and is motivated by solving novel, multi-cloud distributed systems challenges at massive scale.

What we look for:

• 15+ years of production level experience in one of: Rust, Java, Scala, C++, or similar language
• 10+ years of experience developing large-scale distributed systems from scratch
• Experience working on a SaaS platform or with Service-Oriented Architectures.
• Experience with cloud networking, kubernetes, infrastructure automation languages like terraform, cloudformation, etc.

P-1492

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started in Bengaluru , India ! As a software engineer with a backend focus, you will work with your team to build infrastructure for the Databricks platform at scale.

The Role : 

We are seeking a highly skilled and experienced Senior Software Engineer with a deep understanding of low-level systems to join our team. In this role, you will be instrumental in designing, developing, and optimizing application frameworks  that form the building blocks for all software development at Databricks. This is not a full-stack role; your expertise will be focused on the intricate details of system internals, performance, and efficiency.

What we look for : 

• Design, implement, and maintain core system infrastructure and low-level software components.
• Optimize system performance, reliability, and scalability through meticulous analysis and innovative solutions.
• Work with JVM internals, memory management, concurrency, and distributed systems.
• Collaborate with other senior engineers and architects to define technical strategies and roadmaps.
• Mentor junior engineers and contribute to a culture of technical excellence.
• Participate in code reviews, design discussions, and architectural decision-making.
• Troubleshoot complex system issues and provide effective resolutions.

Qualifications

• Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field.
• 7+ years of professional experience in software development.
• Deep understanding of Java Virtual Machine (JVM) internals, including garbage collection, JIT compilation, class loading, and memory model.
• Proficiency in at least one JVM language and extensive experience with its runtime environment.
• Strong programming skills in Scala/Java/Rust or other systems-level languages.
• Extensive experience with operating system concepts; including processes, threads, concurrency, scheduling, and I/O.
• Proven track record of building and optimizing high-performance, scalable, and reliable systems.
• Experience with distributed systems concepts and technologies.
• Excellent problem-solving, analytical, and debugging skills.
• Strong communication and collaboration abilities
• Experience with performance profiling and tuning tools.
• Contributions to open-source projects related to JVM or systems software.
• Experience with RPC frameworks.

If you are a systems-level expert with a passion for optimizing the core of technology and possess a deep understanding of JVM internals, we encourage you to apply and help us build the future.

P-926

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started in Bengaluru , India ! As a software engineer with a backend focus, you will work with your team to build infrastructure for the Databricks platform at scale.

The impact you'll have:

Our backend teams cover a diverse range of domains, from core compute fabric resource management to service platforms and infrastructure. For example, you might work on challenges such as:

• Supporting Databricks' growth by building foundational infrastructure platforms that enable seamless operation across numerous geographic regions and cloud providers.
• Implementing cloud-agnostic infrastructure abstractions to help Databricks engineers more efficiently manage and operate their services.
• Develop tools and processes that drive engineering efficiency at Databricks. We enhance the developer experience for Databricks engineers across various areas, including programming languages, linters, static analysis, IDEs, remote development environments, automated release pipelines, and test automation frameworks. Our current focus is on optimizing the Rust development experience across the organization.

What we look for:

• BS (or higher) in Computer Science, or a related field
• 6+ years of production level experience in one of: Python, Java, Scala, C++, or similar language.
• Experience developing large-scale distributed systems from scratch
• Experience working on a SaaS platform or with Service-Oriented Architectures
• Proficiency in one or more backend languages such as Java, Scala, or Go.
• Hands-on experience in developing and operating backend systems.
• Ability to contribute effectively throughout all project phases, from initial design and development to implementation and ongoing operations, with guidance from senior team members.

P-926

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. 

The Role : 

We are seeking a highly skilled and experienced Senior Software Engineer with a deep understanding of low-level systems to join our team. In this role, you will be instrumental in designing, developing, and optimizing application frameworks that form the building blocks for all software development at Databricks. Your expertise will be focused on the intricate details of system internals, performance, and efficiency.

What we look for : 

• Design, implement, and maintain core system infrastructure and low-level software components.
• Optimize system performance, reliability, and scalability through meticulous analysis and innovative solutions.
• Work with JVM internals, memory management, concurrency, and distributed systems.
• Collaborate with other senior engineers and architects to define technical strategies and roadmaps.
• Mentor junior engineers and contribute to a culture of technical excellence.
• Participate in code reviews, design discussions, and architectural decision-making.
• Troubleshoot complex system issues and provide effective resolutions.

Qualifications

• Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field.
• 7+ years of professional experience in software development.
• Deep understanding of Java Virtual Machine (JVM) internals, including garbage collection, JIT compilation, class loading, and memory model.
• Proficiency in at least one JVM language and extensive experience with its runtime environment.
• Strong programming skills in Scala/Java/Rust or other systems-level languages.
• Extensive experience with operating system concepts; including processes, threads, concurrency, scheduling, and I/O.
• Proven track record of building and optimizing high-performance, scalable, and reliable systems.
• Experience with distributed systems concepts and technologies.
• Excellent problem-solving, analytical, and debugging skills.
• Strong communication and collaboration abilities
• Experience with performance profiling and tuning tools.
• Contributions to open-source projects related to JVM or systems software.
• Experience with RPC frameworks.

If you are a systems-level expert with a passion for optimizing the core of technology and possess a deep understanding of JVM internals, we encourage you to apply and help us build the future.

Job Title: Python  Developer

 About Us

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

WHY JOIN CAPCO? 

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

MAKE AN IMPACT

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

#BEYOURSELFATWORK

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

CAREER ADVANCEMENT

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

DIVERSITY & INCLUSION

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

Job Description:

• About the Role

  In this role, you will have the opportunity to work on complex and challenging projects that have a direct impact on our business. You will collaborate with stakeholders across the organisation to identify business needs and develop technical solutions that drive results. Your expertise in fullstack development, data science, and financial markets will enable you to make a significant contribution to our team and help drive business success.

  Key Responsibilities

  • Develop and implement fullstack applications that automate and streamline processes, improving efficiency and reducing risk.
  • Develop and Manage backend systems primarily using Python, with additional capabilities in Java and other languages.
  • Develop and manage frontend applications primarily using React and Next.js, with additional capabilities in JavaScript and other frameworks.
  • Design and implement core backend services and systems to serve other applications using high performance programming languages such as java.
  • Demonstrate a strong ability to understand and apply software architecture patterns, including microservices and event-driven architecture, to design robust and scalable solutions.
  • Work closely with cross-functional teams to design and implement solutions that meet business requirements and goals.
  • Communicate complex technical concepts to non-technical stakeholders, including business leaders and external partners.
  • Rapid response to issues as they arise, with the ability to drive quickly to the heart of an issue and propose appropriate solutions.
  • Manage work and processes across multiple sites.
  • Maintain discipline in coding practice while ensuring timely delivery of end solutions.

  Technical Expertise

  • Proficiency in Python is required, with familiarity in other programming languages such as Java, C++, Go, Rust, and others being advantageous.
  • Strong understanding of software architecture patterns, including microservices and event-driven architecture.
  • Familiarity with containerisation using Docker, and experience with container orchestration tools such as Kubernetes.
  • Strong understanding of software development lifecycle methodologies and experience with DevOps and CI/CD pipelines.
  • Experience with frontend technologies, including React and Next.js, and JavaScript.
  • Familiarity with data science and analytics techniques, including machine learning and statistical modelling.
  • Experience with database management systems, including relational and NoSQL databases.
  • Experience with Dash or other UI frameworks is a nice to have.

Role
We've been around for 9 years and have real customers, real revenue, and real scale processing 300+ billion rows daily (and growing) across thousands of active pipelines. But we operate with the intensity of a seed-stage company. Our product-market fit is evolving rapidly as AI reshapes the data integration landscape. We're building a new generation of intelligent, context-aware connectors that changes how the industry thinks about data movement.

This role is for builders who want ownership. You will write code every day. You will debug production issues when they happen. You will own entire systems end-to-end from design to deploy to on-call. If you want to build something that matters with a small, focused team, we are a good fit.

Responsibilities
Build & Ship (60%+ of your time)

• Design and implement core connector framework features—schema evolution, intelligent pagination, rate limiting, circuit breaking—and ship them yourself.
• Own the full lifecycle of the Connector SDK: build it, document it, dogfood it, iterate on it based on feedback from internal teams and partners.
• Debug the hard stuff. Trace failures across Kafka clusters, distributed runtimes, and flaky third-party APIs. Fix them, then build the guardrails so they don't recur.
• Handle "dirty" real-world data. Build self-recovery mechanisms, automated retries, and intelligent error handling that keeps pipelines running without human intervention.

Architect & Evolve (25%)

• Define the technical direction for the connector framework. Solving the N+1 integration problem makes adding the 1,000th connector as easy as the 10th.
• Design for multi-tenancy, high concurrency, and low latency from day one. Our platform processes billions of rows; your architecture decisions have immediate, measurable impact.
• Evaluate and drive technology choices where to use Java/Kafka, where Rust or alternative runtimes make more sense, and how to reduce infrastructure costs without sacrificing reliability.

Lead & Multiply (15%)

• Raise the bar through code reviews, design sessions, and pairing. We're a small team; your standards become the team's standards.
• Work directly with Product and the CTO to translate customer needs and market shifts (GenAI data ingestion, real-time CDC, agentic workflows) into technical plans.
• Document what you build. We don't separate building from knowledge sharing RFCs, runbooks, and SDK docs are part of the job, not an afterthought.

Qualifications
Must-Haves

• 8-15+ years of software engineering, with significant time spent building platforms, frameworks, or SDKs—not just end-user applications.
• Expert-level Java/Kotlin/Scala. You understand JVM memory management, concurrency models, and non-blocking I/O at a level where you can diagnose a thread starvation issue from a heap dump.
• Deep experience with distributed systems in production: Kafka, Spark, Flink, or similar. You've operated these systems, not just used them. Bonus points for building something of your own.
• Comfort with the Modern Data Stack: Snowflake, Databricks, and the alphabet soup of protocols (gRPC, GraphQL, Webhooks, CDC).
• Startup mindset. You thrive in ambiguity. You're comfortable defining scope on the fly and shipping before the full picture is clear.
• You've owned production systems and learned the hard way what good operational discipline looks like.
• Global Collaboration Window: Ability to overlap with morning PST (Pacific Standard Time) working hours for syncs, design reviews, and collaboration with our US-based leadership and engineering teams.

Nice-to-Haves

• Contributions to open-source data projects (Airbyte, Flink, Debezium, Arrow).
• Experience at an iPaaS or ELT company (MuleSoft, Fivetran, Informatica, Airbyte).
• Deep Kubernetes / cloud-native experience. We run on K8s and are migrating to Strimzi for Kafka.
• Security architecture chops: OAuth 2.0, mTLS, encrypted credential management at scale.

Why This Might Be Worth It

• Impact at scale from day one. Your code processes billions of rows for companies like DoorDash and LinkedIn.
• The AI wave is real for us. We're not bolting AI onto a legacy product. Intelligent connectors, context-aware data movement, and agentic workflows are the core of what we're building next.
• Small team, big problems. You'll have direct access to the CTO, real influence over product direction, and the autonomy to make significant technical bets.
• Recognized platform with startup energy. The credibility of enterprise validation with the speed and ownership of an early-stage company.

Location - Bengaluru
Workplace type - Hybrid

About EnCharge AI: 

EnCharge AI is building the next generation AI platform. Our novel in-memory-computing architecture delivers a 10x step-function improvement in compute energy efficiency and performance for AI inference workloads. As the demands of artificial intelligence move beyond today's models, we believe fundamental underlying infrastructure must evolve. We are an experienced team of AI researchers, silicon & systems engineers, and architects backed by leading investors, poised to become the essential platform for the next wave of AI innovation. 

The Opportunity: 

Video generation represents one of the most compute-intensive frontiers in AI—and one of the most promising applications for our hardware's energy efficiency advantages. We're building a vertically-integrated video generation stack that will showcase the transformative potential of our silicon while delivering real value to customers today. 

We are seeking a Software Engineer to build the infrastructure and applications that bring our video generation capabilities to market. You'll build the serving stack, customer-facing APIs, and develop agentic systems that demonstrate what's possible when video generation meets energy-efficient hardware. 

This is a foundational role. You won't be inheriting a mature codebase—you'll be architecting production systems from scratch, making critical technical decisions, and building software that directly enables our go-to-market motion. 

Key Responsibilities: 

• Inference & Serving Infrastructure: Design and build scalable serving infrastructure for video generation models (Wan, LTX-Video, Flux, and beyond). Own latency, throughput, reliability, and cost optimization. 

• API & Platform Development: Build robust APIs and SDKs that enable customers and partners to integrate video generation into their products. Design abstractions that balance flexibility with ease-of-use. 

• Video Applications & Demos: Develop compelling demo applications that showcase our platform's capabilities—interactive experiences, batch processing workflows, and vertical-specific solutions that support the GTM team. 

• Agentic Workflows: Build agentic systems that leverage video generation as a core capability—autonomous video editing pipelines, multi-step generation workflows, and tool-use patterns that extend what's possible with video AI. 

• Production Operations: Establish monitoring, observability, and deployment practices for video generation workloads. Ensure systems are reliable, debuggable, and ready for customer-facing use. 

Qualifications: 

• 5+ years of software engineering experience, with a focus on backend systems or ML infrastructure 

• Strong fundamentals in Python and at least one systems language (Go, Rust, C++) 

• Experience building and operating production APIs and serving systems 

• Familiarity with ML inference pipelines (model serving, GPU workloads, batching strategies) 

• Comfort working in fast-moving, ambiguous environments where you define the roadmap 

• Strong product instincts—you think about how software will be used, not just how it works 

Nice to Have: 

• Experience with video processing pipelines or media infrastructure 

• Background building agentic systems or multi-step AI workflows 

• Familiarity with diffusion models or generative AI systems 

• Experience with Kubernetes, Ray, or other orchestration frameworks 

• Track record shipping developer tools or APIs 

Who we are

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

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

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

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

About the role

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

You'll be responsible for:

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

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

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

Qualifications

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

What we offer

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

Who we are

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

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

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

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

About the role

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

You'll be responsible for:

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

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

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

Qualifications

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

What we offer

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

About Enterpret

Enterpret is at the forefront of AI-native applications, unlocking the power of customer feedback for businesses. We centralize feedback from every channel and transform it into actionable insights that drive customer-centric decisions for teams at the world's leading companies like Perplexity, Notion, Canva, and Figma. Backed by investors such as Kleiner Perkins and Peak XV, we're redefining how businesses understand and act on the voice of their customers.

About the Role

As LLMOps Architect at Enterpret, you'll be responsible for how LLM models are fine-tuned, how prompts are managed, how we run evals, how we optimize for cost, and how we optimize for speed—both at the experimentation stage and in production. This is a foundational, high-ownership role where you'll work directly with the OpenAI and Anthropic teams (whom we partner with closely), as well as AWS (whom we partner with closely), to build world-class ML infrastructure.

You'll work closely with ML researchers, backend engineers, and product teams to ensure our AI systems are resilient, secure, and cost-efficient as we grow 10x. Key success metrics include improving the speed of experimentation, time to productionization, and the quality of models. You'll report directly to the CTO.

What You'll Do

• Design and evolve Enterpret's ML platform for training, serving, and retraining our encoders and LLM models using AWS/Terraform/OpenAI/Anthropic.

• Build CI/CD pipelines tailored for ML—including model versioning, testing, canary releases, rollbacks, and gated production deploys.

• Deploy and manage model serving systems for both real-time inference (e.g., tagging support tickets on the fly) and batch pipelines (e.g., analyzing historical product feedback).

• Set up observability for model performance and data drift—using Braintrust and custom alerts to catch issues before they affect customers.

• Lead incident response, root cause analysis, and postmortems for ML systems—ensuring uptime for insights that product teams rely on, alongside governance and security.

• Track and optimize cloud usage for ML workflows, making model delivery cost-aware and aligned with product usage.

• Implement governance and security across the stack—owning IAM, data access, auditability, and model explainability where needed.

• Partner with ML and product teams to productionize GenAI and AI models powering our Knowledge Graph and Adaptive Taxonomy engine, tackling problems on retrieval, encoder LLM fine-tuning, and reinforcement learning.

• Evaluate tools for model registry, feature stores, and orchestration—and build where needed to keep the feedback loop fast.

• Champion best practices in MLOps across the org—mentoring engineers and setting scalable foundations for the future.

• Act as a coach to our team of researchers who are transitioning into engineering, helping them self-serve their capabilities and self-service these tools rather than doing it yourself.

What It Takes

• A minimum of 6 years' experience in MLOps and ML infrastructure, ideally with exposure to designing, deploying, and scaling machine learning systems in fast-paced, product-driven environments such as startups or high-growth companies.

• Deep expertise with AWS (SageMaker, EC2, EKS, S3, IAM), infrastructure-as-code (Terraform), and container orchestration (Docker, Kubernetes).

• Strong Python skills, with bonus points for Go, Bash, or Rust scripting where appropriate.

• Hands-on experience with CI/CD systems like GitHub Actions, ArgoCD, or Jenkins—especially for ML model delivery.

• Proven ability to monitor and maintain production ML systems, including model drift, latency, uptime, and alerting.

• Comfort with cloud cost optimization, resource provisioning, and auto-scaling for ML-heavy environments.

• Familiarity with model serving stacks and experimentation tools (MLflow, Langsmith, etc.).

• Bonus: exposure to GenAI workflows (LangChain, vector DBs, RAG), encoder/LLM model tuning, reinforcement learning, or responsible AI practices.

• Track record of mentoring, collaborating across functions, and taking full ownership of systems in production.

• You hate repeated manual work and have a strong drive to automate everything.

• Proficiency with AI coding agents like Claude and Cursor to work multiple times more effectively than normal.

Why Enterpret

• ML at the Core: You won't be supporting ML—you'll be enabling the core product.

• High Impact, Early Ownership: Define our MLOps foundation, influence every model's path to production, and shape how product teams experience insights.

• Work With Sharp People: Collaborate with researchers, engineers, and product builders solving complex problems every week.

• Focused, Fast Environment: No heavy process—just smart, principled builders shipping high-quality infrastructure.

• Comp + Culture: Competitive salary, meaningful equity, full-stack healthcare, generous leave, and a team-first culture built on trust and ownership.

What We Value

At Enterpret, we operate with a deep sense of ownership — we play for the team and do what it takes to win together. We care personally for our teammates while pushing each other with honest, actionable feedback. Above all, we approach everything with humility and a drive to keep learning and getting better.

Equal Opportunities

We are an equal opportunity employer. We ensure that none of our employees or prospective employees receives less favourable treatment as a result of age, sex, disability, marital status, colour, race, religion or ethnic origin. Equally we aim to ensure that no such employee is disadvantaged by terms and conditions of employment which cannot be justified.

WEKA is architecting a new approach to the enterprise data stack built for the age of reasoning. NeuralMesh by WEKA sets the standard for agentic AI data infrastructure with a cloud and AI-native software solution that can be deployed anywhere. It transforms legacy data silos into data pipelines that dramatically increase GPU utilization and make AI model training and inference, machine learning, and other compute-intensive workloads run faster, work more efficiently, and consume less energy.

WEKA is a pre-IPO, growth-stage company on a hyper-growth trajectory. We’ve raised $375M in capital with dozens of world-class venture capital and strategic investors. We help the world’s largest and most innovative enterprises and research organizations, including 12 of the Fortune 50, achieve discoveries, insights, and business outcomes faster and more sustainably. We’re passionate about solving our customers’ most complex data challenges to accelerate intelligent innovation and business value. If you share our passion, we invite you to join us on this exciting journey.

What you'll be doing:

The filesystem group is a high-powered team responsible for implementing algorithms at scales of 100s of PBs. The team also manages the core filesystem components, including blocks and metadata management, snapshots, RAID logic, object-store tiering, unique cloud disaster recovery features, and more. And most importantly, they skillfully handle the most delicate part of the Weka solution – our customers’ data.

As a Senior Software Engineer, you’ll:

• Design and develop distributed file system components to support data management features such as snapshots, replication, tiering, and advanced data reduction algorithms;
• Participate in the design, architecture, and implementation of next-generation storage architecture;
• Assist in technically managing initial storage implementations including proofs-of-concept;
• Diagnose bottlenecks and implement clean and performant solutions to achieve unbeatable performance; 
• Design algorithms and data structures to make sure customer data is safe and coherent across our solution in a wide variety of failure modes; and
• Constantly revisit the architecture, algorithms, and methodologies to improve productivity, reliability, and maintainability.

Requirements

• Over 10 years of expertise in low-level, high-performance programming using C, C++, and Rust.
• A thorough understanding of concurrency, inter-process communication, threading models, and synchronization concepts, including significant experience with complex multithreaded software design
• Experience identifying, reproducing, and resolving complex software defects, including root cause isolation, tracing through large source codebases, and implementing long-term fixes as well as short-term workarounds
• 10+ years of hands-on experience with Linux development and debugging, along with a broad knowledge and understanding of Linux internals

It's nice if you have:

• Experience in data-path design and development
• Experience with development of highly-distributed systems
• Deep familiarity with concepts and features from the storage industry, including snapshots, replication, transparent data migration, and data reduction techniques
• Experience with ZFS, XFS, or other file systems or with enterprise storage solutions
• Experience working with the Linux filesystem community
• Contribution, upstreaming, or maintaining of filesystem code
• Experience playing a significant role in the implementation of a concurrent, long-running performant server

The WEKA Way

• We are Accountable: We take full ownership, always–even when things don’t go as planned. We lead with integrity, show up with responsibility & ownership, and hold ourselves and each other to the highest standards.
• We are Brave: We question the status quo, push boundaries, and take smart risks when needed. We welcome challenges and embrace debates as opportunities for growth, turning courage into fuel for innovation.
• We are Collaborative: True collaboration isn’t only about working together. It’s about lifting one another up to succeed collectively. We are team-oriented and communicate with empathy and respect. We challenge each other and conduct positive conflict resolution. We are being transparent about our goals and results. And together, we’re unstoppable.
• We are Customer Centric: Our customers are at the heart of everything we do. We actively listen and prioritize the success of our customers, and every decision we make is driven by how we can better serve, support, and empower them to succeed. When our customers win, we win.

Concerned that you don’t meet every qualification above?

Studies have shown that women and people of color may be less likely to apply for jobs if they don’t meet every qualification specified. At WEKA, we are committed to building a diverse, inclusive and authentic workplace. If you are excited about this position but are concerned that your past work experience doesn’t match up perfectly with the job description, we encourage you to apply anyway – you may be just the right candidate for this or other roles at WEKA.

 WEKA is an equal opportunity employer that prohibits discrimination and harassment of any kind. We provide equal opportunities to all employees and applicants for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.