About Us:

Sauce Labs is the world's largest full-lifecycle, test automation platform, and the company behind Selenium. Trusted by 80% of the world's top ten largest financial institutions and over 300,000 enterprise users, Sauce Labs provides the only AI platform capable of turning business intent into autonomous testing and quality assurance. With a proprietary dataset of 8.7 billion test runs, Sauce Labs empowers the Fortune 2000 to bridge the gap between AI-driven code generation and enterprise-grade software quality. Learn more at saucelabs.com.

The Role:

This pivotal role drives the design and implementation of high-value features and the foundational Error-Reporting/Backtrace platform. This is a strategic product in the Sauce Labs portfolio, and you will be instrumental in enabling customers to analyze multi-dimensional data and debug at scale to resolve their business-critical production issues. Your solutioning and development expertise in native, low-level systems (Rust, C/C++) will accelerate the evolution of this intricate product with a highly performant custom columnar database. Core Linux backend skills and a DevOps perspective are essential to design and evolve a scalable, maintainable platform. You will collaborate remotely with a global engineering team on new capabilities, enhancing backend performance, reliability, data analysis, and user experience. If you have compelling code to share, we would love to see it—we hire for demonstrable talent first!

Responsibilities:

• Extend core subsystems including work scheduling, networking (HTTP), storage, indexing, and data analysis. Performance-sensitive components are primarily in Rust and C/C++.
• Enhance platform observability by integrating bespoke and off-the-shelf OpenTelemetry capabilities, encompassing metrics, tracing, and profiling, and evolving Grafana dashboards to provide deeper insights.
• Collaborate with business and management functions to develop and execute the product roadmap.
• Provide technical leadership, advising on investments, leading solution design and development, and mentoring junior staff.
• Participate in on-call rotation.
• Contribute to improvements in the software development lifecycle for increased velocity and quality.

Required Skills:

• 7+ years of development experience in C/C++ and Rust.
• Demonstrable skill in developing specialized data structures, algorithms, and supporting infrastructure for real-world workloads.
• Solid experience with cloud platforms (GCP, AWS).
• Proficiency with live and post-mortem debugging tools.
• Expertise in the development of AI-driven features, as well as agents and skills integrated with internal workflows.
• Strong experience managing/scripting CI and scaling infrastructure using DevOps tools like Jenkins, Docker, Kubernetes, and Salt.
• You are autonomous, take initiative, and act on it.
• You stay current with the field, having read at least 2 relevant computer systems papers in the last year.
• You have a proven track record of collaboration and pragmatism, leveraging the strengths of others to build great products.

This Saucer can be found globally.  We believe in the power of in-person collaboration to build strong relationships and drive innovation. To support this, our office models are tailored by region:

• Poland, Berlin, and the US: We operate on a hybrid basis, offering flexibility alongside collaboration with in-office days as required.
• India: We operate in-office 5 days a week to maximize team synergy and real-time collaboration and mentorship.

Regardless of location, Saucers living near an office are expected to be present and engaged with their local teams.

Please note our privacy terms when applying for a job at Sauce Labs.

Sauce Labs is proud to be an Equal Opportunity employer and values diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender identity/expression/status, sexual orientation, age, marital status, veteran status or disability status.

Security responsibilities at Sauce

At Sauce, we will commit to supporting the health and safety of employees and properties, partnering with internal stakeholders to learn and act on ever-evolving security protocols and procedures. You’ll be expected to fully comply with all policies and procedures related to security at the department and org wide level and exercise a ‘security first’ approach to how we design, build & run our products and services.

MongoDB is growing and gaining adoption rapidly across the globe with the most demanding and innovative companies and development teams in enterprise software.

We are seeking a Senior Staff Engineer to join our growing Gurugram Products & Technology team to provide technical direction, direct architecture, and implement core parts of a new platform we are building to make it easier for customers to build AI applications using MongoDB. 

As a Senior Staff Engineer on this new team, you will be responsible for providing technical leadership to teams developing cutting edge technologies related to enabling deployment at scale of AI applications. You will take on challenging, high-visibility projects that improve and enhance the performance, scalability, and reliability of the distributed systems infrastructure for this new product. MongoDB engineering teams pride themselves on building high-quality software and living MongoDB cultural values every day – we value intellectual curiosity and honesty, and building together in an environment that prioritizes collaboration over competition. 

We are looking to speak to candidates who are based in Bengaluru for our hybrid working model. We are open to considering candidates in other cities, including in Gurugram

Position Expectations

• Work closely with research, product management, product engineering, product design, peers as well as other teams within the company to define the first version and future evolution of the service 
• Design, build and deliver well-tested core pieces of the platform in collaboration with other vested parties
• Contribute to shaping architecture, code reviews and development practices, developer experience as the teams and product grow 
• Mentor fellow engineers and assume ownership and accountability of projects

Qualifications

• Strong background in building core components for high scale compute and data distributed systems
• 15+ years experience of building distributed systems, and/or foundational cloud services at scale and an interest in working with Python, Go and Java
• Proven success in designing, writing, testing, debugging, performance tuning, possessing a strong grip on the foundational materials of computer science and maintaining distributed and/or highly concurrent software systems in large, long-lived code bases
• Track record of identifying problems, implementing solutions and delivering complex projects in distributed systems or databases
• Experience leading 15-20 people projects involving distributed systems infrastructure from conception to successful delivery
• Good verbal and written technical communication skills, desire to collaborate with colleagues
• Bonus points for experience with containerization and orchestration platforms (eg. Kubernetes) and AI frameworks and tools
• Be a force multiplier in our software development process. Enable teams to deliver great products through leadership and technical contributions
• Eager to learn, with a strong technical background

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB is an equal opportunities employer.

Req ID - 1273354568

MongoDB is growing and gaining adoption rapidly across the globe with the most demanding and innovative companies and development teams in enterprise software.

We are seeking a Senior Staff Engineer to join our growing Gurugram Products & Technology team to provide technical direction, direct architecture, and implement core parts of a new platform we are building to make it easier for customers to build AI applications using MongoDB. 

As a Senior Staff Engineer on this new team, you will be responsible for providing technical leadership to teams developing cutting edge technologies related to enabling deployment at scale of AI applications. You will take on challenging, high-visibility projects that improve and enhance the performance, scalability, and reliability of the distributed systems infrastructure for this new product. MongoDB engineering teams pride themselves on building high-quality software and living MongoDB cultural values every day – we value intellectual curiosity and honesty, and building together in an environment that prioritizes collaboration over competition. 

We are looking to speak to candidates who are based in Gurugram for our hybrid working model. We are open to considering candidates in other cities, including in Bengaluru.

Position Expectations

• Work closely with research, product management, product engineering, product design, peers as well as other teams within the company to define the first version and future evolution of the service 
• Design, build and deliver well-tested core pieces of the platform in collaboration with other vested parties
• Contribute to shaping architecture, code reviews and development practices, developer experience as the teams and product grow 
• Mentor fellow engineers and assume ownership and accountability of projects

Qualifications

• Strong background in building core components for high scale compute and data distributed systems
• 15+ years experience of building distributed systems, and/or foundational cloud services at scale and an interest in working with Python, Go and Java
• Proven success in designing, writing, testing, debugging, performance tuning, possessing a strong grip on the foundational materials of computer science and maintaining distributed and/or highly concurrent software systems in large, long-lived code bases
• Track record of identifying problems, implementing solutions and delivering complex projects in distributed systems or databases
• Experience leading 15-20 people projects involving distributed systems infrastructure from conception to successful delivery
• Good verbal and written technical communication skills, desire to collaborate with colleagues
• Bonus points for experience with containerization and orchestration platforms (eg. Kubernetes) and AI frameworks and tools
• Be a force multiplier in our software development process. Enable teams to deliver great products through leadership and technical contributions
• Eager to learn, with a strong technical background

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB is an equal opportunities employer.

Req ID - 1273354568

We are seeking a Staff Engineer to join our growing Gurugram Products & Technology team to provide technical direction, direct architecture, and implement core parts of a new platform we are building to make it easier for customers to build AI applications using MongoDB. 

As a Staff Engineer on this new team, you will be responsible for providing technical leadership to teams developing cutting edge technologies related to enabling deployment at scale of AI applications. You will take on challenging, high-visibility projects that improve and enhance the performance, scalability, and reliability of the distributed systems infrastructure for this new product. MongoDB engineering teams pride themselves on building high-quality software and living MongoDB cultural values every day – we value intellectual curiosity and honesty, and building together in an environment that prioritizes collaboration over competition. 

We are looking to speak to candidates who are based in Gurugram for our hybrid working model.

Position Expectations

• Work closely with research, product management, product engineering, product design, peers as well as other teams within the company to define the first version and future evolution of the service 
• Design, build and deliver well-tested core pieces of the platform in collaboration with other vested parties
• Contribute to shaping architecture, code reviews and development practices, developer experience as the teams and product grow 
• Mentor fellow engineers and assume ownership and accountability of projects

Qualifications

• Strong background in building core components for high scale compute and data distributed systems
• 8+ years experience of building distributed systems, and/or foundational cloud services at scale and an interest in working with Python, Go and Java
• Proven success in designing, writing, testing, debugging, performance tuning, possessing a strong grip on the foundational materials of computer science and maintaining distributed and/or highly concurrent software systems in large, long-lived code bases
• Track record of identifying problems, implementing solutions and delivering complex projects in distributed systems or databases
• Experience leading 15-20 people projects involving distributed systems infrastructure from conception to successful delivery.
• Good verbal and written technical communication skills, desire to collaborate with colleagues
• Bonus points for experience with containerization and orchestration platforms (eg. Kubernetes) and AI frameworks and tools
• Be a force multiplier in our software development process. Enable teams to deliver great products through leadership and technical contributions
• Eager to learn, with a strong technical background

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB is an equal opportunities employer.

This new team will architect the platform foundation and infrastructure that enables a "build once, run anywhere" model, ensuring our AI-powered modernisation suite operates seamlessly regardless of a client's security or network constraints. We are looking for engineers to join this high-visibility initiative, where you will solve unique distributed systems puzzles and help shape the future of how global enterprises leverage GenAI.

We are looking for an experienced software engineer who thrives on solving infrastructure constraints and building enterprise facing platforms. 

The ideal candidate is a hands-on technical leader who can architect complex distributed systems, mentor engineers, and collaborate with product teams to deliver a platform that minimizes deployment friction and meets customers’ compliance requirements.

This role can be based out of our Gurgaon office or Remotely in India.

The ideal candidate for this role will have

• 8+ years of software development and operations experience, with a focus on building platforms and distributable software infrastructure.
• 2+ years of experience leading, coaching, and mentoring a team of engineers to achieve high-impact results.
• Deep experience designing distributable applications that run in air-gapped or highly restricted network environments.
• Strong proficiency in containerization and orchestration, with the ability to design systems where the host executes containerized applications under strict security monitoring.
• Experience building Service Host architectures that provide shared routing, proxy layers, and API gateways for multiple underlying services.
• Experience managing persistent storage solutions (blob/file storage) within distributed systems.
• Understanding of security-first design, specifically regarding the execution of untrusted code, fine-grain access control, and rigorous input validation.
• Experience designing auto-update mechanisms for software that cannot directly access the public internet.
• Curiosity, a positive attitude, and a drive to continue learning.

Position Expectations

• Provide technical leadership and mentorship to a team of engineers, fostering a culture of innovation, quality, and continuous improvement.
• Drive the distributed infrastructure for the Application Modernisation Platform, ensuring it supports a self-service SaaS product model while operating within client-controlled environments.
• Lead the design and implementation of a sophisticated orchestration layer that manages authentication, telemetry, and the lifecycle of modernization tools.
• Architect a client-side application that manages developer workflows and communicates securely with hosted services.
• Solve complex "Day 2" operations challenges, such as designing interfaces to solve DevOps challenges to manage users, secrets, and updates.
• Collaborate with security and product teams to ensure the platform can execute code generation and LLM-based tasks securely, protecting both client data and MongoDB IP.
• Act as a hands-on leader, guiding the team through technical challenges related to container security, local vs. hosted logic distribution, and cross-service data sharing.

Success Measures

Within the first three months, you will have:

• Fully ramped up on our architecture, business domain, and the specific constraints of deploying software to large enterprise client environments.
• Established yourself as the technical leader within the team, actively driving technical decisions.
• Begun mentoring team members and collaborating with product counterparts to define the integrations between the platform and the tools it hosts.

Within six months, you will have:

• Successfully led the team to deliver a prototype or initial release of the Deployment Platform that supports the core modernization toolset.
• Designed and implemented a streamlined process for platform updates that works within client security constraints.
• Established a precise rhythm of execution and served as a role model for a high-performing team.

Within 12 months, you will have:

• Become recognized as the go-to technical expert for the deployment and operations domain at MongoDB.
• Delivered a stable, production-ready platform that allows our Field Engineering teams to deploy tools without significant delays or approvals.
• Played a crucial role in helping recruiting and growing the engineering team.

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB is an equal opportunities employer.

This new team will architect the platform foundation and infrastructure that enables a "build once, run anywhere" model, ensuring our AI-powered modernisation suite operates seamlessly regardless of a client's security or network constraints. We are looking for engineers to join this high-visibility initiative, where you will solve unique distributed systems puzzles and help shape the future of how global enterprises leverage GenAI.

We are looking for an experienced software engineer who thrives on solving infrastructure constraints and building enterprise facing platforms. 

The ideal candidate is a hands-on technical leader who can architect complex distributed systems, mentor engineers, and collaborate with product teams to deliver a platform that minimizes deployment friction and meets customers’ compliance requirements.

This role can be based out of our Gurgaon office or Remotely in India.

The ideal candidate for this role will have

• 8+ years of software development and operations experience, with a focus on building platforms and distributable software infrastructure.
• 2+ years of experience leading, coaching, and mentoring a team of engineers to achieve high-impact results.
• Deep experience designing distributable applications that run in air-gapped or highly restricted network environments.
• Strong proficiency in containerization and orchestration, with the ability to design systems where the host executes containerized applications under strict security monitoring.
• Experience building Service Host architectures that provide shared routing, proxy layers, and API gateways for multiple underlying services.
• Experience managing persistent storage solutions (blob/file storage) within distributed systems.
• Understanding of security-first design, specifically regarding the execution of untrusted code, fine-grain access control, and rigorous input validation.
• Experience designing auto-update mechanisms for software that cannot directly access the public internet.
• Curiosity, a positive attitude, and a drive to continue learning.

Position Expectations

• Provide technical leadership and mentorship to a team of engineers, fostering a culture of innovation, quality, and continuous improvement.
• Drive the distributed infrastructure for the Application Modernisation Platform, ensuring it supports a self-service SaaS product model while operating within client-controlled environments.
• Lead the design and implementation of a sophisticated orchestration layer that manages authentication, telemetry, and the lifecycle of modernization tools.
• Architect a client-side application that manages developer workflows and communicates securely with hosted services.
• Solve complex "Day 2" operations challenges, such as designing interfaces to solve DevOps challenges to manage users, secrets, and updates.
• Collaborate with security and product teams to ensure the platform can execute code generation and LLM-based tasks securely, protecting both client data and MongoDB IP.
• Act as a hands-on leader, guiding the team through technical challenges related to container security, local vs. hosted logic distribution, and cross-service data sharing.

Success Measures

Within the first three months, you will have:

• Fully ramped up on our architecture, business domain, and the specific constraints of deploying software to large enterprise client environments.
• Established yourself as the technical leader within the team, actively driving technical decisions.
• Begun mentoring team members and collaborating with product counterparts to define the integrations between the platform and the tools it hosts.

Within six months, you will have:

• Successfully led the team to deliver a prototype or initial release of the Deployment Platform that supports the core modernization toolset.
• Designed and implemented a streamlined process for platform updates that works within client security constraints.
• Established a precise rhythm of execution and served as a role model for a high-performing team.

Within 12 months, you will have:

• Become recognized as the go-to technical expert for the deployment and operations domain at MongoDB.
• Delivered a stable, production-ready platform that allows our Field Engineering teams to deploy tools without significant delays or approvals.
• Played a crucial role in helping recruiting and growing the engineering team.

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB is an equal opportunities employer.

We are looking to speak to candidates who are based in Gurugram for our hybrid working model.

About the Role

We are looking for a Staff Integration Engineer (Workato & API Integration) to join our GTMTech team. This strategic role will lead the design, implementation, and governance of enterprise-grade integrations that power our core business processes across GTM systems, with a primary focus on Workato-based integrations and modern API management patterns.

You will own the architecture for critical integration domains such as Quote-to-Cash and other high-impact GTMTech programs, ensuring our integration landscape is scalable, secure, observable, and aligned with best practices for event-driven and API-first designs. You will partner with engineering, architecture, security, and business stakeholders to define standards, mentor other integration engineers, and drive continuous improvement in how we connect systems and data.

The GTMTech team is focused on high-impact, large-scale technology programs, such as Quote-to-Cash. Our mission is to enhance company efficiency, boost profitability, and enable data-driven decision-making by streamlining systems, optimizing processes, and minimizing manual, low-value work through automation and AI.

Key Responsibilities

• Lead the end-to-end architecture, design, and implementation of Workato-based integrations and APIs across GTM systems (e.g., Salesforce, NetSuite, HRIS, Google Workspace) with a focus on scalability, reliability, and security
• Define and evolve integration standards, patterns, and best practices, including canonical integration patterns, error-handling strategies, observability, and operational runbooks
• Design and review complex, event-driven integration workflows leveraging technologies such as Kafka or equivalent messaging platforms, ensuring robust handling of topics, producers/consumers, durability, and retry mechanisms
• Drive API-first and MCP-native design for GTM integrations, leveraging RESTful APIs alongside MCP-based interfaces and AI-driven services, including robust authentication and authorization (OAuth2, JWT), versioning, lifecycle management, and integration with API management platforms such as Apigee or similar
• Translate ambiguous, cross-functional business requirements into well-structured technical designs, evaluating multiple solution approaches and recommending the best fit for scalability, extensibility, and long-term maintainability.
• Provide technical leadership and mentorship to other integration engineers—coaching on Workato concepts (callable recipes, event streams, task optimization), API design, and integration patterns, and performing design and code reviews
• Partner closely with GTM, Finance, Data, and Security teams to align integration designs with data governance, compliance, and audit requirements, including CI/CD practices and environment strategies for Workato and associated services
• Establish and enforce non-functional requirements (NFRs) for integrations (performance, resiliency, observability, security), and ensure they are met through design, testing, and monitoring
• Troubleshoot and resolve complex issues spanning multiple systems and environments by performing deep root-cause analysis and driving long-term corrective actions in partnership with system owners
• Conduct POCs to validate technology or pattern choices (e.g., new Workato features, API capabilities, event streaming approaches) and guide the team on when and how to adopt them
• Participate in and help mature the on-call and support rotation for integrations, ensuring robust incident response, escalation, and communication practices
• Champion and role model MongoDB’s culture principles—Think Big, Make it Happen, Build Together, and Be Intellectually Honest—while driving high standards for technical excellence and operational rigor within GTMTech.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, with 10+ years of enterprise integration experience, including significant time in lead/architect roles
• At least 5 years of hands-on experience designing and delivering complex, enterprise-grade integration solutions using Workato, with deep understanding of the platform beyond low-code/no-code capabilities (e.g., advanced recipes, callable recipes, event streams, Workato SDK, task optimization, governance)
• Strong experience operating Workato in production at scale, including environment strategy, deployment automation, observability and monitoring, logging, and robust debugging in multi-system landscapes
• Solid understanding of event-driven architectures and messaging technologies such as Kafka or equivalents, including topics, producers/consumers, message durability, failure handling, and retry strategies
• Proficient with Workato connectors (including but not limited to Salesforce, NetSuite, HRIS, and Google Workspace), coupled with strong scripting skills (e.g., Python or Ruby) for advanced transformations and custom logic when required
• Demonstrated experience defining and enforcing integration standards, patterns, and NFRs across teams, including performance, scalability, security, and operability benchmarks
• Excellent analysis and system design capabilities, with a focus on system interactions, data flows, scalability, performance, and mapping complex business requirements into elegant, maintainable technical solutions
• Strong troubleshooting skills across diverse technologies and environments, with the ability to quickly isolate issues and drive cross-functional teams toward resolution
• Ability to mentor and upskill teammates, lead design and architecture reviews, and influence stakeholders through clear communication and well-reasoned recommendations
• Comfortable working in a fast-paced, highly collaborative, and hybrid environment, and open to occasional travel as needed for key workshops or stakeholder engagements.

Success Measures

In 3 months, you will have:

• Gained a deep understanding of the GTMTech integration landscape, including key Workato recipes, APIs, and event streams across Quote-to-Cash and adjacent domains
• Ownership of at least one critical integration domain, stabilizing existing integrations and addressing high-priority issues or technical debt.

In 6 months, you will have:

• Designed and delivered high-quality, scalable integration solutions (recipes/flows and APIs) for key GTMTech initiatives, with measurable improvements in reliability, performance, and observability
• Established or refined integration standards and NFR guidelines (including SLAs/SLOs, error-handling patterns, and monitoring dashboards) and gained adoption across the GTMTech integration team
• Led design reviews and architecture discussions for new integration initiatives, ensuring alignment with event-driven and API-first strategies and influencing technology choices where appropriate.

In 12 months and beyond, you will have:

• Become the go-to integration and API architecture leader for GTMTech, recognized for your ability to decompose complex business problems into scalable integration designs and to guide teams toward high-quality implementations
• Demonstrated a track record of proactively identifying integration risks, performance bottlenecks, and architectural gaps, and leading cross-functional efforts to address them with durable solutions
• Played a central role in elevating the overall maturity of GTMTech integrations—improving uptime, reducing incidents, shortening time-to-recovery, and increasing development velocity through better tooling, patterns, and governance
• Championed MongoDB’s culture principles within GTMTech, mentoring engineers, shaping interview and hiring standards for integration roles, and contributing to a high-performing, inclusive team culture

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB is an equal opportunities employer.

Get to Know our Team: 

In Agoda’s Back End Engineering department, we build the scalable, fault-tolerant systems and APIs that host our core business logic. Our systems cover all major areas of our business: inventory and pricing, product information, customer data, communications, partner data, booking systems, payments, and more. These mission-critical systems change frequently with dozens of releases per day, so we must employ state-of-the-art CI/CD and testing techniques in order to make sure everything works without any downtime. We also ensure that our systems are self-healing, responding gracefully to extreme loads or unexpected input. In order to accomplish this, we use state-of-the-art languages like Scala and Go, data technologies like Kafka and Aerospike, and agile development practices. Most importantly though, we hire great people from all around the world and empower them to be successful. Whether it’s building new projects like Flights and Packages or reimagining our existing business, you’ll make a big impact as part of the Back End Engineering team.

The Opportunity:    

Agoda is seeking experienced Software Engineers to design and build mission-critical APIs and backend systems that handle millions of user search requests every day. This is an exciting opportunity to work on large-scale distributed systems, shape technical direction, and help build reliable software that supports Agoda’s global platform.

In this Role, you'll get to      

• Lead the development of product features, experiments, technical initiatives, and complex systems.
• Act as a technical leader by shaping architecture decisions, mentoring engineers, and guiding technology choices.
• Continuously improve system architecture and drive better software design and engineering practices.
• Play a key role in strengthening agile and scrum ways of working.
• Collaborate closely with backend, client-side, and infrastructure teams to deliver the best technical solutions.
• Proactively identify opportunities to enhance products, code quality, and development processes.
• Write high-quality, maintainable code while supporting others in doing the same.
• Influence and drive important technical decisions across the organization.

What You’ll Need to Succeed

• 7+ years of experience building and maintaining performance-critical applications in production environments using Scala, Java, or C#.
• Proven experience leading projects, technical initiatives, and/or teams, with end-to-end ownership of systems.
• Familiarity with data platforms such as SQL, Cassandra, or Hadoop, with a solid understanding of how different use cases require different data solutions.
• Strong foundation in algorithms and data structures.
• Excellent coding and problem-solving skills.
• Genuine passion for software engineering, with a continuous desire to learn and improve.
• Strong verbal and written communication skills in English.

It’s Great If You Have  

• Experience working in Scrum or Agile environments.
• Experience building large-scale distributed systems or products.
• Familiarity with core engineering tools such as Git, TeamCity, and Puppet.
• Hands-on experience with technologies such as Kafka, RabbitMQ, ActiveMQ, MSMQ, Spark, Hadoop, Cassandra, MongoDB, Play Framework, or Akka.

 #india #newdelhi #Bangalore #Bengaluru #Pune #Hyderabad #Chennai #Kolkata #Lucknow #IT #ENG #4 #Mumbai #Delhi #Noida

Get to Know our Team: 

In Agoda’s Back End Engineering department, we build the scalable, fault-tolerant systems and APIs that host our core business logic. Our systems cover all major areas of our business: inventory and pricing, product information, customer data, communications, partner data, booking systems, payments, and more. These mission-critical systems change frequently with dozens of releases per day, so we must employ state-of-the-art CI/CD and testing techniques in order to make sure everything works without any downtime. We also ensure that our systems are self-healing, responding gracefully to extreme loads or unexpected input. In order to accomplish this, we use state-of-the-art languages like Scala and Go, data technologies like Kafka and Aerospike, and agile development practices. Most importantly though, we hire great people from all around the world and empower them to be successful. Whether it’s building new projects like Flights and Packages or reimagining our existing business, you’ll make a big impact as part of the Back End Engineering team.

The Opportunity:    

Agoda is looking for developers to work on mission critical systems that deal with the designing and development of APIs that serve millions of user search requests a day.

In this Role, you'll get to      

• Lead development of features, experiments, technical projects and complex systems 
• Be a technical architect, mentor, and driver towards the right technology 
• Continue to evolve our architecture and build better software
• Be a major contributor to our agile and scrum practices 
• Get involved with software engineering and collaborate with server, other client, and infrastructure technical team members to build the best solution
• Constantly look for ways to improve our products, code-base and development practices 
• Write great code and help others write great code
• Drive Technical decisions in the organization.

What You’ll Need to Succeed

• At least 7+ years’ experience under your belt developing performance-critical applications that run in a production environment using Scala, Java or C#.
• Experience in leading projects, initiatives and/or teams, with full ownership of the systems involved
• Data platforms like SQL, Cassandra or Hadoop. You understand that different applications have different data requirements
• Good understanding of algorithms and data structures
• Strong coding ability
• You are passionate about the craft of software development and constantly work to improve your knowledge and skills
• Excellent verbal and written English communication skills

It’s Great If You Have  

• Experience with Scrum/Agile development methodologies
• Experience building large-scale distributed products
• Core engineering infrastructure tools like Git for source control, TeamCity for Continuous Integration and Puppet for deployment
• Hands-on experience working with technology like queueing systems (Kafka, RabbitMQ, ActiveMQ, MSMQ), Spark, Hadoop, NoSQL (Cassandra, MongoDB), Play framework, Akka library  

 #india #newdelhi #Bangalore #Bengaluru #Pune #Hyderabad #Chennai #Kolkata #Lucknow #IT #ENG #4 #Mumbai #Delhi #Noida

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.

About the role: 

Turing is looking for people with LLM experience to join us in solving business problems for our Fortune 500 customers. You will be a key member of the Turing GenAI delivery organization and part of  a GenAI project. You will be required to work with a team of other Turing engineers across different skill sets. In the past, the Turing GenAI delivery organization has implemented industry leading multi-agent LLM systems, RAG systems, and Open Source LLM deployments for major enterprises. 

Roles & Responsibilities:

• Develop and optimize LLM-based solutions: Lead the design, training, fine-tuning, and deployment of large language models, leveraging techniques like prompt engineering, retrieval-augmented generation (RAG), and agent-based architectures.
• Codebase ownership: Maintain high-quality, efficient code in Python (using frameworks like LangChain/LangGraph) and SQL, focusing on reusable components, scalability, and performance best practices.
• Cloud integration: Aide in deployment of GenAI applications on cloud platforms (Azure, GCP, or AWS), optimizing resource usage and ensuring robust CI/CD processes.
• Cross-functional collaboration: Work closely with product owners, data scientists, and business SMEs to define project requirements, translate technical details, and deliver impactful AI products.
• Mentoring and guidance: Provide technical leadership and knowledge-sharing to the engineering team, fostering best practices in machine learning and large language model development.
• Continuous innovation: Stay abreast of the latest advancements in LLM research and generative AI, proposing and experimenting with emerging techniques to drive ongoing improvements in model performance.

Required skills:

• 8+ years of professional experience in building Machine Learning models & systems
• 1+ years of hands-on experience in how LLMs work & Generative AI (LLM) techniques particularly prompt engineering, RAG, and agents.
• Experience in driving the engineering team toward a technical roadmap.
• Expert proficiency in programming skills in Python, Langchain/Langgraph and SQL is a must.
• Understanding of Cloud services, including Azure, GCP, or AWS
• Excellent communication skills to effectively collaborate with business SMEs

Overview:   The Staff Software Engineer L5 works with all service aspects of high throughput and multi-tenant services, has the ability to design components carefully, properly handle errors, write clean and well-factored code with good tests and good maintainability. 

Duties and Responsibilities:

• Design, develop, deploy, test, support technical solutions using full-stack development tools and technologies 
• Design and develop user friendly, responsive web interfaces using modern web application frameworks   
• Utilize programming languages like Java, SQL, Python (for the backend) and JavaScript, HTML/CSS (for the frontend) 
• Should have expert level knowledge in RDBMS/SQL and NoSQL databases
• Deploy the micro services seamlessly using Container Orchestration services like Docker and Kubernetes, and a variety of AWS managed services and tools 
• Adept at troubleshooting complex distributed systems and performance issues 
• Should be a team player and excel in fast-paced agile environments 
• Expecting a fast learner by keeping up with the latest trends and technologies in backend and front-end development. 

Job Requirements:

• 8+ years of experience in Enterprise Java development 
• 5+ Years experience with JavaScript (with modern UI frameworks like Angular, React or Vue.js) 
• Extensive experience in SQL and NoSQL technologies
• Demonstrated experience in Caching, queuing, scheduling, concurrent and event-driven architectures 
• Demonstrated experience of developing applications on/for Linux platforms
• Should have proven track record of implementing distributed systems and microservice architectures (RESTful APIs) 
• Involved knowledge of best practices for implementing secure web applications 
• Strong experience with AWS (preferred), Microsoft Azure, GCP and/or other clouds  
• Experience with CI/CD pipelines and modern deployment techniques 

Education:

• Bachelor's degree in computer science, Software Engineering, or Information Technology

Physical Demands and Work Environment:

• Sedentary work (i.e. sitting for long periods of time).
• Exerting up to 10 pounds of force occasionally and/or negligible amount of force.
• Subject to inside environmental conditions.
• Travel for this position will include less than 10% locally usually for training purposes.

About the Role

Are you a tech-savvy organizer who loves finding smarter ways to work?

As our India site continues its rapid scaling, we are looking for a next-generation Executive Assistant to support the India Site Head. This isn’t your traditional administrative role. We are looking for a "tech-first" problem solver who leverages AI agents, automation tools, and large language models to streamline executive operations.

Whether you are an experienced EA looking to modernize your skill set, or a brilliant fresher with a passion for AI and organization, this role is your launchpad. You will be the operational backbone for the Site Head - automating the mundane so the leadership team can focus on the extraordinary, while also bringing a human touch to our operations, serving as the primary host and culture champion for all visiting partners and site gatherings and events.

What You’ll Do

A) AI & Workflow Automation

• Build the "Virtual EA": Deploy and manage AI agents and automation workflows (using tools like Copilot, ChatGPT, Claude, or Power Automate) to handle routine tasks such as calendar triage, meeting invite acceptances, and basic email drafting.
• Smart Follow-Ups: Design automated systems to track leadership action items, pending approvals, and project follow-ups.
• Process Innovation: Continuously research and implement new AI tools to reduce administrative overhead for the executive office.

B) Executive & Site Support

• Strategic Calendar Management: Manage complex scheduling for the Site Head, ensuring time is protected for high-priority business initiatives.
• Event & Delegate Management: Act as the primary host for visiting global executives, VIP delegates, and external partners.
• Culture & People: Organize high-impact site events, leadership offsites, and team-building initiatives that foster a highly engaged work environment.
• Cross-Functional Coordination: Act as a seamless liaison between the Site Head, the Chief of Staff, and the broader GCC leadership team.

What You Bring

• Experience: Open to both fresh graduates with a strong tech portfolio and experienced professionals with a proven track record of modernizing administrative workflows.
• Tech Fluency: Hands-on experience (or strong demonstrated interest) in AI tools, prompt engineering, and basic workflow automation. You don't need to be a software engineer, but you should be extremely comfortable configuring AI agents to solve operational bottlenecks.
• Exceptional Communication: Flawless written and verbal communication skills, with the ability to interact confidently with global leadership and diverse teams.
• Hyper-Organized: An innate ability to manage multiple moving parts, prioritize ruthlessly, and anticipate the needs of the executive office before they arise.
• People Skills: A warm, professional demeanour with a natural talent for hospitality, event hosting, and relationship building.

Overview:   The Staff Software Engineer L5 works with all service aspects of high throughput and multi-tenant services, has the ability to design components carefully, properly handle errors, write clean and well-factored code with good tests and good maintainability. 

Duties and Responsibilities:
1. Work as part of a global, cross-functional team to build and operate innovative services/platforms for Inovalon applications.
2. Serve as a technical authority for complex projects and cross-team initiatives.
3. Own end-to-end architecture for large systems or multiple services; sets technical direction.
3. Define and enforce engineering best practices, coding standards, and architectural guidelines.
4. Lead design reviews and provide strategic input on system scalability and performance.
5. Collaborate effectively with cross-functional and partner teams to define project requirements.
6. Design, implement, test, deploy and maintain innovative software solutions to drive services optimization, cost, and security.
7. Write high quality distributed system software.
8. Mentor junior engineers and provide code reviews to ensure quality.
9. Shapes technical direction for the organization, drives innovation, and ensures scalability.
10. Apply Agile development principles to continuously deliver value and readily adapt to evolving requirements.
11. Maintain code integrity and organization, ensuring the highest level of performance for both front-end and back-end code.
12. Drive a results-oriented culture with a strong focus on engineering excellence, execution and propagate build for scale mindset.

Job Requirements:
1. Minimum 8-12 years in software development with demonstrated leadership in complex projects, leading design or architecture (design patterns, reliability, and scaling) of new or existing services/systems.
2. 8-12 years in data engineering or related roles.
3.***Advanced proficiency in Snowflake*** (data modeling, performance tuning, security), strong SQL skills for complex queries and optimization, and experience with ETL/ELT tools and data pipeline orchestration.
4. Optimize queries and data structures for high performance and scalability and implement best practices for data partitioning, clustering, and caching.
5. Integrate Snowflake with various data sources and BI tools
6. Define data strategy, ensure data integrity and performance across multiple systems.
7. Knowledge of Azure Data Services, Python, or Spark.
8. Familiarity with data warehousing best practices.
9. Experience with CI/CD for data pipelines.
10. Proficient in Java and Angular, AWS services and performance tuning techniques - design performance strategy for large-scale systems; mentors others on performance best practices.
11. Proven track record of leading technical teams and influencing architectural decisions. Lead multiple teams or initiatives, drive technical vision, and influences org-level decisions.
12. Partners with senior leadership, product strategy, and cross-functional teams to align technical roadmap.

Education:

• Bachelor's degree in computer science, Software Engineering, or Information Technology

Physical Demands and Work Environment:

• Sedentary work (i.e. sitting for long periods of time).
• Exerting up to 10 pounds of force occasionally and/or negligible amount of force.
• Subject to inside environmental conditions.
• Travel for this position will include less than 10% locally usually for training purposes.

Overview:   The Staff Software Engineer L5 works with all service aspects of high throughput and multi-tenant services, has the ability to design components carefully, properly handle errors, write clean and well-factored code with good tests and good maintainability. 

Duties and Responsibilities:

• Design distributed systems that are resilient and secure at scale from inception;
• Raise the engineering bar on scale, resiliency, security fundamentals via technical leadership and engineering excellence;
• Discover, review, and influence new and evolving design, architecture, and standards for building and delivering unique services and solutions;
• Investigate, design, and implement best-in-industry, innovative technologies that will expand Inovalon’s infrastructure through robust, scalable, adrenaline-fueled solutions;
• Champion the enterprise infrastructure vision and strategy;
• Be the expert in service reliability and sustainability;
• Develop and execute designs for complex systems backed by excellence, confidence, and thorough engineering analysis;
• Develop, gather, and leverage metrics to manage the server fleet and complex computing systems to drive automation, improvement, and performance;
• Take ownership of ensuring detailed design, analysis, testing, and optimization;
• Set direction/goals for the team regarding project impact, product quality and engineering efficiency;
• Lead major initiatives, projects, teams, rollouts and phased releases;
• Provide mentorship onboarding new team members and enabling successful ramp up;
• Collaborate with other engineers, services across Inovalon, and external customers to understand requirements, have tight feedback loop that is data driven;
• Adhere to all confidentiality, HIPAA, regulatory, and other such policies, procedures, and requirements as outlined within Employer’s Operating Policies and Procedures in all ways and at all times with respect to any aspect of the data handled or services rendered in the scope of work.
• Maintain compliance with Inovalon’s policies, procedures and mission statement, and fulfill those responsibilities and/or duties that may be reasonably provided by Inovalon for the purpose of achieving operational and financial success.
• On Call Policy: Participate in an on-call rotation to support critical issues, including outside standard business hours (evenings, weekends, and holidays), ensuring timely response and resolution as per defined SLAs.

Job Requirements:

• Minimum 15 years of plus experience with Unix management, complex computing platforms, and/or cutting-edge technologies involving virtualization, distribution, and high performance computing;
• Strives to achieve excellence backed by strong architectural, system design, and automation experience;
• Technology experience required; Hive, Hbase, Sqoop, Ranger, NIFI - Other technologies good to have; Spark, Phoenix, Spring Batch, Accumulo, Falcon, Atlas;
• Experience engineering solutions on one of the major Hadoop distributions - Java scripting and application support experience strongly desired;
• Experience with virtualization technologies required and driven to solve difficult problems with scalable, elegant, and maintainable solutions;
• Expert and creative troubleshooter – unrelenting, persistent, confident;
• A penchant for thinking outside the box to solve complex and interesting problems;
• Extensive knowledge of existing industry standards, technologies, and infrastructure operations;
• Ability to manage stressful situations with calm, courtesy, and confidence;
• Experience building and shipping high quality work and achieving high reliability; and
• Experience improving stability through thoughtful code reviews, appropriate testing, proper rollout, monitoring, and proactive changes.

Education:

• Bachelor's degree in computer science, Software Engineering, or Information Technology

Physical Demands and Work Environment:

• Sedentary work (i.e. sitting for long periods of time).
• Exerting up to 10 pounds of force occasionally and/or negligible amount of force.
• Subject to inside environmental conditions.
• Travel for this position will include less than 10% locally usually for training purposes.

Overview:   The Staff Software Engineer L5 works with all service aspects of high throughput and multi-tenant services, has the ability to design components carefully, properly handle errors, write clean and well-factored code with good tests and good maintainability. 

Duties and Responsibilities:

• Design distributed systems that are resilient and secure at scale from inception;
• Raise the engineering bar on scale, resiliency, security fundamentals via technical leadership and engineering excellence;
• Discover, review, and influence new and evolving design, architecture, and standards for building and delivering unique services and solutions;
• Investigate, design, and implement best-in-industry, innovative technologies that will expand Inovalon’s infrastructure through robust, scalable, adrenaline-fueled solutions;
• Champion the enterprise infrastructure vision and strategy;
• Be the expert in service reliability and sustainability;
• Develop and execute designs for complex systems backed by excellence, confidence, and thorough engineering analysis;
• Develop, gather, and leverage metrics to manage the server fleet and complex computing systems to drive automation, improvement, and performance;
• Take ownership of ensuring detailed design, analysis, testing, and optimization;
• Set direction/goals for the team regarding project impact, product quality and engineering efficiency;
• Lead major initiatives, projects, teams, rollouts and phased releases;
• Provide mentorship onboarding new team members and enabling successful ramp up;
• Collaborate with other engineers, services across Inovalon, and external customers to understand requirements, have tight feedback loop that is data driven;
• Adhere to all confidentiality, HIPAA, regulatory, and other such policies, procedures, and requirements as outlined within Employer’s Operating Policies and Procedures in all ways and at all times with respect to any aspect of the data handled or services rendered in the scope of work.
• Maintain compliance with Inovalon’s policies, procedures and mission statement, and fulfill those responsibilities and/or duties that may be reasonably provided by Inovalon for the purpose of achieving operational and financial success.
• On Call Policy: Participate in an on-call rotation to support critical issues, including outside standard business hours (evenings, weekends, and holidays), ensuring timely response and resolution as per defined SLAs.

Job Requirements:

• Minimum 15 years of plus experience with Unix management, complex computing platforms, and/or cutting-edge technologies involving virtualization, distribution, and high performance computing;
• Strives to achieve excellence backed by strong architectural, system design, and automation experience;
• Technology experience required; Hive, Hbase, Sqoop, Ranger, NIFI - Other technologies good to have; Spark, Phoenix, Spring Batch, Accumulo, Falcon, Atlas;
• Experience engineering solutions on one of the major Hadoop distributions - Java scripting and application support experience strongly desired;
• Experience with virtualization technologies required and driven to solve difficult problems with scalable, elegant, and maintainable solutions;
• Expert and creative troubleshooter – unrelenting, persistent, confident;
• A penchant for thinking outside the box to solve complex and interesting problems;
• Extensive knowledge of existing industry standards, technologies, and infrastructure operations;
• Ability to manage stressful situations with calm, courtesy, and confidence;
• Experience building and shipping high quality work and achieving high reliability; and
• Experience improving stability through thoughtful code reviews, appropriate testing, proper rollout, monitoring, and proactive changes.

Education:

• Bachelor's degree in computer science, Software Engineering, or Information Technology

Physical Demands and Work Environment:

• Sedentary work (i.e. sitting for long periods of time).
• Exerting up to 10 pounds of force occasionally and/or negligible amount of force.
• Subject to inside environmental conditions.
• Travel for this position will include less than 10% locally usually for training purposes.

Overview:  The Staff Engineer L6 will lead development for various Inovalon products and platforms, innovating to overcome current technology and bring in solutions which solve resiliency, scale, security in a completely different level.  This position brings subject matter expertise as a functional lead and is tasked with ensuring a high level of discipline and productivity.

Duties and Responsibilities:

• Design, build and maintain scalable data pipelines and access patterns related to Healthcare;
• Research, evaluate and utilize new technologies/tools/frameworks centered around high-volume data processing in AWS;
• Document and estimate technical scope and design as needed;
• Design and implement distributed data processing pipelines using tools and languages prevalent in the big data ecosystem;
• Involve and drive a culture of collaborative reviews of designs, code and test plans;
• Work with business stake holders and architecture engineering leads to ensure quality solutions are implemented and engineering standard methodologies adhered to;
• DevOps Focus – Utilize and advance continuous integration and deployment frameworks;
• Solve complex data issues and perform root cause analysis;
• Work across teams to resolve operational & performance issues;
• Provide strong technical leadership, raise the technical bar, maintain data and results-driven culture, nurture a team culture of high collaboration and trust;
• Communicate effectively and partner well with other disciplines of the project team to deliver high quality solutions from ideas to production code;
• Facilitate alignment and clarity across teams on goals, outcomes, and timelines;
• Influence and coach junior engineers both within and outside of your team; be a role model for an open, honest, and inclusive approach to problem solving;
• Adhere to all confidentiality, HIPAA, regulatory, and other such policies, procedures, and requirements as outlined within Employer’s Operating Policies and Procedures in all ways and at all times with respect to any aspect of the data handled or services rendered in the scope of work; and
• Maintain compliance with Inovalon’s policies, procedures and mission statement, and fulfill those responsibilities and/or duties that may be reasonably provided by Inovalon for the purpose of achieving operational and financial success.
• On Call Policy: Participate in an on-call rotation to support critical issues, including outside standard business hours (evenings, weekends, and holidays), ensuring timely response and resolution as per defined SLAs.

Job Requirements:

• Minimum of 15 years of IT experience with at least 2 years’ experience with public cloud (AWS) including serverless architecture and cloud warehousing solutions;
• Strong experience using managed services and Infrastructure as a service;
• Minimum of 6 years of strong experience with Big Data and related processing frameworks such as EMR, Spark, and Airflow;
• Strong programming experience in Python and Java/Scala preferred;
• Hands on coder who masters the concepts behind distributed databases, batch and stream processing;
• Experience in working with extremely large healthcare datasets, preferably in an architect/lead role;
• Strong familiarity with healthcare data formats including EDI and FHIR;
• Architect and code solutions for large-scale ETL pipelines with data processing frameworks and sourcing data from a diverse array of sources;
• Experience building microservices and event-based architectures;
• Experience with AWS Security Architecture including IAM, Security groups and policies;
• Hands on experience with Terraform and/or cloud formation;
• Experience building CI/CD pipelines in public cloud and creating a culture of automation;
• Experience leading and mentoring junior engineers;
• Experience working with scalable cloud-based data warehousing solutions such as Redshift, Snowflake;
• Systems engineering experience, including engineering, configuration, and management of Windows and Linux server environments;
• Prior Experience in migration of applications to AWS;
• Excellent oral and written communication skills;
• Excellent time management and problem-solving skills with the ability to adapt to changing business priorities and operational demands;
• Extensive knowledge of existing industry standards, technologies, and operational norms;
• An entrepreneurial spirit with a can-do attitude – a self-starter, project finisher and adaptive, collaborative; and
• Experienced in utilizing data and analysis to explain technical problems and providing detailed feedback and solutions.

Education:

• Bachelor's degree in computer science, Software Engineering, or Information Technology

Physical Demands and Work Environment:

• Sedentary work (i.e. sitting for long periods of time).
• Subject to inside environmental conditions.
• Travel for this position will include less than 10% locally usually for training purposes.

Overview:   The Staff Software Engineer L5 works with all service aspects of high throughput and multi-tenant services, has the ability to design components carefully, properly handle errors, write clean and well-factored code with good tests and good maintainability. 

Duties and Responsibilities:

• Design distributed systems that are resilient and secure at scale from inception;
• Raise the engineering bar on scale, resiliency, security fundamentals via technical leadership and engineering excellence;
• Discover, review, and influence new and evolving design, architecture, and standards for building and delivering unique services and solutions;
• Investigate, design, and implement best-in-industry, innovative technologies that will expand Inovalon’s infrastructure through robust, scalable, adrenaline-fueled solutions;
• Champion the enterprise infrastructure vision and strategy;
• Be the expert in service reliability and sustainability;
• Develop and execute designs for complex systems backed by excellence, confidence, and thorough engineering analysis;
• Develop, gather, and leverage metrics to manage the server fleet and complex computing systems to drive automation, improvement, and performance;
• Take ownership of ensuring detailed design, analysis, testing, and optimization;
• Set direction/goals for the team regarding project impact, product quality and engineering efficiency;
• Lead major initiatives, projects, teams, rollouts and phased releases;
• Provide mentorship onboarding new team members and enabling successful ramp up;
• Collaborate with other engineers, services across Inovalon, and external customers to understand requirements, have tight feedback loop that is data driven;
• Adhere to all confidentiality, HIPAA, regulatory, and other such policies, procedures, and requirements as outlined within Employer’s Operating Policies and Procedures in all ways and at all times with respect to any aspect of the data handled or services rendered in the scope of work.
• Maintain compliance with Inovalon’s policies, procedures and mission statement, and fulfill those responsibilities and/or duties that may be reasonably provided by Inovalon for the purpose of achieving operational and financial success.
• On Call Policy: Participate in an on-call rotation to support critical issues, including outside standard business hours (evenings, weekends, and holidays), ensuring timely response and resolution as per defined SLAs.

Job Requirements:

• Minimum 15 years of plus experience with Unix management, complex computing platforms, and/or cutting-edge technologies involving virtualization, distribution, and high performance computing;
• Strives to achieve excellence backed by strong architectural, system design, and automation experience;
• Technology experience required; Hive, Hbase, Sqoop, Ranger, NIFI - Other technologies good to have; Spark, Phoenix, Spring Batch, Accumulo, Falcon, Atlas;
• Experience engineering solutions on one of the major Hadoop distributions - Java scripting and application support experience strongly desired;
• Experience with virtualization technologies required and driven to solve difficult problems with scalable, elegant, and maintainable solutions;
• Expert and creative troubleshooter – unrelenting, persistent, confident;
• A penchant for thinking outside the box to solve complex and interesting problems;
• Extensive knowledge of existing industry standards, technologies, and infrastructure operations;
• Ability to manage stressful situations with calm, courtesy, and confidence;
• Experience building and shipping high quality work and achieving high reliability; and
• Experience improving stability through thoughtful code reviews, appropriate testing, proper rollout, monitoring, and proactive changes.

Education:

• Bachelor's degree in computer science, Software Engineering, or Information Technology

Physical Demands and Work Environment:

• Sedentary work (i.e. sitting for long periods of time).
• Exerting up to 10 pounds of force occasionally and/or negligible amount of force.
• Subject to inside environmental conditions.
• Travel for this position will include less than 10% locally usually for training purposes.

Overview:  The Staff Engineer L6 will lead development for various Inovalon products and platforms, innovating to overcome current technology and bring in solutions which solve resiliency, scale, security in a completely different level.  This position brings subject matter expertise as a functional lead and is tasked with ensuring a high level of discipline and productivity.

Duties and Responsibilities:

• Design, build and maintain scalable data pipelines and access patterns related to Healthcare;
• Research, evaluate and utilize new technologies/tools/frameworks centered around high-volume data processing in AWS;
• Document and estimate technical scope and design as needed;
• Design and implement distributed data processing pipelines using tools and languages prevalent in the big data ecosystem;
• Involve and drive a culture of collaborative reviews of designs, code and test plans;
• Work with business stake holders and architecture engineering leads to ensure quality solutions are implemented and engineering standard methodologies adhered to;
• DevOps Focus – Utilize and advance continuous integration and deployment frameworks;
• Solve complex data issues and perform root cause analysis;
• Work across teams to resolve operational & performance issues;
• Provide strong technical leadership, raise the technical bar, maintain data and results-driven culture, nurture a team culture of high collaboration and trust;
• Communicate effectively and partner well with other disciplines of the project team to deliver high quality solutions from ideas to production code;
• Facilitate alignment and clarity across teams on goals, outcomes, and timelines;
• Influence and coach junior engineers both within and outside of your team; be a role model for an open, honest, and inclusive approach to problem solving;
• Adhere to all confidentiality, HIPAA, regulatory, and other such policies, procedures, and requirements as outlined within Employer’s Operating Policies and Procedures in all ways and at all times with respect to any aspect of the data handled or services rendered in the scope of work; and
• Maintain compliance with Inovalon’s policies, procedures and mission statement, and fulfill those responsibilities and/or duties that may be reasonably provided by Inovalon for the purpose of achieving operational and financial success.
• On Call Policy: Participate in an on-call rotation to support critical issues, including outside standard business hours (evenings, weekends, and holidays), ensuring timely response and resolution as per defined SLAs.

Job Requirements:

• Minimum of 15 years of IT experience with at least 2 years’ experience with public cloud (AWS) including serverless architecture and cloud warehousing solutions;
• Strong experience using managed services and Infrastructure as a service;
• Minimum of 6 years of strong experience with Big Data and related processing frameworks such as EMR, Spark, and Airflow;
• Strong programming experience in Python and Java/Scala preferred;
• Hands on coder who masters the concepts behind distributed databases, batch and stream processing;
• Experience in working with extremely large healthcare datasets, preferably in an architect/lead role;
• Strong familiarity with healthcare data formats including EDI and FHIR;
• Architect and code solutions for large-scale ETL pipelines with data processing frameworks and sourcing data from a diverse array of sources;
• Experience building microservices and event-based architectures;
• Experience with AWS Security Architecture including IAM, Security groups and policies;
• Hands on experience with Terraform and/or cloud formation;
• Experience building CI/CD pipelines in public cloud and creating a culture of automation;
• Experience leading and mentoring junior engineers;
• Experience working with scalable cloud-based data warehousing solutions such as Redshift, Snowflake;
• Systems engineering experience, including engineering, configuration, and management of Windows and Linux server environments;
• Prior Experience in migration of applications to AWS;
• Excellent oral and written communication skills;
• Excellent time management and problem-solving skills with the ability to adapt to changing business priorities and operational demands;
• Extensive knowledge of existing industry standards, technologies, and operational norms;
• An entrepreneurial spirit with a can-do attitude – a self-starter, project finisher and adaptive, collaborative; and
• Experienced in utilizing data and analysis to explain technical problems and providing detailed feedback and solutions.

Education:

• Bachelor's degree in computer science, Software Engineering, or Information Technology

Physical Demands and Work Environment:

• Sedentary work (i.e. sitting for long periods of time).
• Subject to inside environmental conditions.
• Travel for this position will include less than 10% locally usually for training purposes.

The Role

We’re looking for a seasoned Staff Machine Learning Engineer to shape and scale the backbone of our production ML ecosystem. In this role, you will architect high-performing ML systems that power our geospatial intelligence platform, transforming large-scale satellite and aerial imagery into actionable insights. You’ll lead end-to-end ownership—from model deployment and MLOps to infrastructure design—while partnering closely with data science, platform engineering, and product teams to deliver reliable, scalable, and cost-efficient ML solutions. If you thrive at the intersection of deep technical expertise, system design, and cross-functional collaboration, this role is for you.

How you'll make an impact:

ML System Architecture & Production Deployment

• Design, build, and maintain end-to-end ML pipelines for batch processing of satellite and aerial imagery
• Deploy and scale ML models in production on AWS infrastructure, leveraging services like SageMaker, Bedrock,or custom-built solutions
• Implement MLflow for experiment tracking, model versioning, and model registry management
• Architect batch inference systems optimized for throughput and cost-efficiency
• Work with geospatial data formats and coordinate reference systems
• Collaborate with data scientists to transition models from research to production
• Partner with platform engineering to build scalable compute, GPU clusters, and storage layers

ML Operations & Reliability

• Implement comprehensive model monitoring systems to track performance degradation and data drift
• Design and execute canary deployments and A/B testing frameworks for safe model rollouts
• Build active learning pipelines to continuously improve model performance with minimal labeling effort
• Establish model evaluation frameworks and performance benchmarking processesCreate alerting and observability systems for production ML workloads

Technical Leadership

• Mentor ML engineers and data scientists on best practices for production ML
• Drive technical decision-making on ML infrastructure and tooling
• Collaborate with platform and data engineering teams to optimize the ML stack
• Establish engineering standards and contribute to architectural roadmaps

What we’re looking for:

• 5+ years of experience in machine learning engineering with 2+ years in a senior or lead capacity
• Proven track record deploying and maintaining ML systems in production using AWS services (SageMaker,Lambda, ECS/EKS, S3, etc.)
• Strong hands-on experience with tools like MLflow, WandB, or similar for experiment tracking and model management
• Deep expertise in image segmentation and computer vision techniques using frameworks like PyTorch or TensorFlow
• Production experience with ensemble models (xgboost, lightgbm, RF)

ML Operations Expertise

• Experience implementing model monitoring, drift detection, and alerting systems
• Hands-on experience with canary deployments, A/B testing and Shadow deployments for ML models
• Knowledge of active learning strategies and human-in-the-loop ML systems
• Strong understanding of model evaluation metrics, bias detection, and performance analysis

Technical Skills

• Expert-level Python programming with ML libraries (scikit-learn, PyTorch/TensorFlow, NumPy, pandas, etc)
• Experience with distributed batch processing frameworks (Airflow, Step Functions, Argo Workflows, Spark,Dask, Ray or similar)
• Proficiency with AWS ML ecosystem and infrastructure-as-code (Terraform, CloudFormation)
• Hands-on experience with dataset versioning tools such as DVC, LakeFS, Delta Lake, Quilt, or Pachyderm
• Strong software engineering fundamentals: unit/integration testing, CI/CD, version control, observability, designpatterns
• Experience with containerization (Docker, Kubernetes) for model deployment
• Good to have experience with ML Orchestration tools like Kubeflow, Vertex AI, etc
• Nice to have experience with GPUs: scheduling GPU jobs, optimizing GPU performance, memory profiling

We are proud to be an equal-opportunity employer. We are committed to embracing diversity and inclusion in our hiring practices, and we promote a work environment where everyone, from any race, color, religion, sex, sexual orientation, gender identity, or national origin, can do their best work.

ClearView is looking for an Information Security Professional to join our Information Technology team. This role will be responsible for three main areas: Supporting our Policy Review/Creation, User Awareness Training, and Monitoring/Testing to ensure compliance.  This position requires the ability to work with minimal direction, flexibility to changing demands and having an eye for process improvement.  This position will work in our India office but will be responsible for ClearView’s Information Security globally. 

Responsibilities 

Security monitoring and incident support 

• Monitor security tools and dashboards (e.g., SIEM, endpoint security, email security) for alerts and suspicious activity and help triage and escalate as needed. 

• Tune SIEM rules, correlation searches, and alert thresholds to reduce noise and improve detection quality under the guidance of senior staff. 

• Build and maintain SIEM dashboards and reports that give IT and leadership visibility into security events and trends. 

• Assist in initial investigation of security incidents (log collection, basic analysis, documentation) and support remediation steps defined by senior engineers. 

• Follow established runbooks and procedures for incident response and request enhancements when gaps are identified. 

Cloud and infrastructure security 

• Help configure and monitor security controls in Azure and AWS (e.g., security center, logging, IAM, security groups, baseline configurations). 

• Work with IT teams to ensure logging, alerting, and basic hardening are in place for servers, applications, and network devices. 

• Assist with periodic reviews of access controls, MFA configurations, and conditional access policies across cloud and onprem environments. 

• Support vulnerability management activities by collecting scan results, tracking remediation status, and validating fixes with relevant teams. 

Endpoint and identity security 

• Help manage endpoint security tools (EDR/AV, disk encryption, device posture checks) and respond to endpoint alerts following documented procedures. 

• Assist with implementation and maintenance of identity and access controls (e.g., rolebased access, privilege reviews, account lifecycle processes). 

• Contribute to standard build/hardening checklists for laptops, servers, and cloud resources, and verify that new systems are deployed according to these baselines. 

Operational processes and documentation 

• Maintain up to date technical documentation for security tools, dashboards, playbooks, and standard operating procedures. 

• Support periodic security reviews and audits by gathering evidence, screenshots, and exportable reports from security tools. 

• Help implement and track security metrics (e.g., number of alerts, mean time to acknowledge, patch/vulnerability closure rates) and suggest improvements. 

• Assist with user onboarding/offboarding tasks related to security access, device setup, and security tooling enrollment. 

Collaboration and learning 

• Partner with the IT teams to ensure changes to infrastructure or applications include appropriate logging and security controls. 

• Stay current on security tooling and best practices relevant to SIEM, cloud security, and endpoint protection, and share useful findings with the team.  

Job Qualifications 

• Bachelor’s degree in technical, information security, or related discipline, or equivalent practical experience. 

• 2-6 years of relevant security experience. 

• Strong technical aptitude with interest in security operations, cloud security, and endpoint protection. 

• Comfortable working with logs, dashboards, and basic scripting or automation tools to troubleshoot and analyze issues. 

• Security+, CySA+, AWS Associate Certifications, AZ 500 or other information security certifications. 

• Demonstrates strong problem solving, analytical, interpersonal, and ownership skills. 

• Possesses excellent collaboration skills for work with various internal team members. 

Additional Skills/Experience 

• An understanding of security concepts, encryption, system hardening, defense-in-depth designs, advanced persistent threats, anomaly detection and next-generation technologies. 

• Working knowledge and experience with any of the following technologies: VA, SIEM, DLP, IPS/IDS, AV, MFA, VPN, FW, AD, Wireless, ACL’s, & Port Scanning. 

• Experience with Rapid7 SIEM is a plus, experience with any log analysis or SIEM platform is a must. 

• Working knowledge of Windows endpoints; familiarity with macOS or basic networking concepts is a plus. 

• Awareness of security frameworks or standards (e.g., ISO 27001, NIST CSF) and interest in learning how they apply in practice. 

• Knowledge of a variety of security tools.

CS DISCO is aimed at redefining the landscape of legal technology. Ultimately, we seek to enable lawyers to achieve more efficient, data-oriented, and fact-based legal outcomes. We started our journey as a company by focusing on the crucial 'discovery' phase of the legal process. One of our offerings, Ediscovery, focuses on enabling legal teams to achieve these outcomes with incredible efficiency.

The massive data proliferation over the last decades has revealed the limitations of many legal technology products, impacting the efficiency of legal practices. At CS DISCO, we strive to provide solutions to the legal domain that are magical. To do so requires the processing of large volumes of data at petabyte scale, with high availability, while maximizing performance, minimizing operations cost, and also ensuring data security, privacy, and sovereignty.

Our overarching mission is to create a unified technology platform for the practice of law. We envision a suite of products focused on delivering distinctly better legal outcomes with a minimum of human toil and cost. Our technology addresses the challenges of scale in data and enables legal teams to focus on the critical tasks that necessitate human legal judgment.

With a trajectory that has already seen substantial disruption in this market, our approach is underscored by a lawyer-inspired interface and a cloud-enabled technology platform, aiming for exemplary performance and cost efficiency. Thoughtful product planning and design are ingrained in our “product first” business ethos and culture, aligning with the broader objective of enhancing the practice of law through technology.

Your Impact

You will be a key contributor and responsible for both hands-on technical work to improve existing systems as well as guiding long-term evolutions in this space. You’ll be successful by ensuring that the product and its backend systems meet current and future functional and scaling demands. Through your contributions towards both implementation and system design, you will play a pivotal role in maintaining and evolving our software systems to meet the growing demands of our business, ensuring high availability and high performance.

What You'll Do

• Engage actively in coding, code reviews, and technical discussions, ensuring high-quality output.
• Lead the design, development, and maintenance of scalable, high-performance, easily modifiable distributed systems.
• Continuously enhance system performance, focusing on meeting customer needs using the best practices for designing scalable distributed systems.
• Share knowledge and mentor junior engineers, promoting a culture of technical excellence and continuous learning.
• Collaborate closely with cross-functional teams to translate business requirements into robust technical solutions.

Who You Are

• 10+ years of relevant experience in backend engineering, with a focus on building large scale, highly responsive, fault tolerant services in SaaS and cloud-based applications.
• Strong experience with building highly reliable, highly responsive services backed by relational and non-relational data stores.
• Demonstrated expertise in designing, implementing, and maintaining (through operational observability) highly available, high-performance, distributed systems.
• Proven ability to deliver well-crafted, tested, and maintainable code solutions to complex technical challenges.
• Experience with multiple software stacks, have opinions and preferences, but are not tightly coupled to a specific stack.
• You’ve delivered cloud native software solutions (including designing, implementing, and operational excellence).
• Experience in implementing RESTful APIs for outward-facing services and using gRPC for efficient internal service-to-service communication.

Even Better If You Have…

• Experience with designing, modifying, and operating multi-tenant systems.
• Familiarity with designing and developing from a security perspective with security best practices in system design and development.
• Demonstrated proficiency in multiple programming languages, including but not limited to Python and Kotlin/Java.
• Strategic level interaction with UI Developers.

Some Of Our Technology Stack

• Cloud Provider: AWS
• Persistence: Sql Datastore, Elasticsearch, and others
• Container Orchestration: ECS, Kubernetes
• Transport: gRPC, GraphQL
• Persistence: Elasticsearch, DynamoDB, PostgresQL, Redis
• Event Bus: Kafka
• Languages / Frameworks: Kotlin / Netflix DGS, Python / Flask, .NET
• IaC: Terraform

Perks of DISCO

• Open, inclusive, and fun environment
• Benefits, including medical and dental insurance
• Competitive salary plus discretionary bonus
• Opportunity to be a part of a startup that is revolutionizing the legal industry
• Growth opportunities throughout the company