Gate Jobs

Full-Time | Remote About the Role We are seeking a skilled DevSecOps Engineer to design, deploy, and maintain secure, cloud-native infrastructure supporting Department of War customers. You will work across container platforms, CI/CD pipelines, and government cloud environments to deliver hardened, compliant software systems at scale. This role sits at the intersection of platform engineering, security, and DevSecOps and requires a strong understanding of DoW policies, toolchains, and accreditation processes. Key Responsibilities Design and maintain Kubernetes-based infrastructure, including cluster provisioning, RBAC configuration, network policy, and workload management Package and deploy applications using Helm charts; maintain chart repositories and manage release lifecycle across environments Implement and enforce policy controls using Istio service mesh, OPA Gatekeeper, Kyverno, and related Kubernetes admission controllers Build and maintain CI/CD pipelines using GitLab CI, GitHub Actions, Jenkins, or equivalent tooling; integrate automated security scanning and compliance gates Deploy and operate workloads on AWS GovCloud and Azure Government; architect for high availability, disaster recovery, and cross-region compliance requirements Manage and harden container images; integrate with Iron Bank, Platform One, and other DoW-approved registry sources Configure and maintain observability stacks including Prometheus, Grafana, and Datadog; develop alerting, dashboards, and SLO frameworks Participate in ATO processes, support STIG/CIS compliance scanning, and contribute to System Security Plans (SSPs) and documentation artifacts Collaborate with development, security, and program teams to establish and refine DevSecOps practices across the software delivery lifecycle Support air-gapped and classified environment deployments; design solutions for offline image transfer, registry mirroring, and artifact management Coordinate with government platform teams and managed

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. As the Engineering Manager for the Lakehouse Foundation team, you will lead a group of engineers responsible for the foundational data layer that all of Lyft's data systems and emerging AI workloads are built on. The team owns catalog and metadata management, table formats and storage, and the access patterns and gateways through which other engineering teams interact with Lyft's data. As Lyft converges on a unified lakehouse architecture, this team builds and operates the single source of truth that powers analytics, machine learning, experimentation, and every business decision made from data. You will play a key role in shaping the team's technical direction, partnering with peer Data Platform teams on a multi-year platform evolution, and developing engineers who operate with autonomy on systems of significant scale and complexity. Lyft's Infrastructure teams build the foundational systems that the rest of engineering depends on to move fast, ship reliably, and scale efficiently. These are high-leverage roles where the work you and your team do has a multiplicative effect across the company. We're looking for experienced leaders who can balance the discipline of operating critical infrastructure with the curiosity to keep evolving how Lyft builds. Engineering at Lyft is a place where managers and engineers operate with high ownership and strong technical judgment. Our engineers expect their managers to be honest, available, and focused on the work that matters: developing their teams, removing obstacles, and giving people the support they need to do their best work. We build teams that are inclusive, technically rigorous, and have a strong sense of ownership for what they build. Responsibilities: Lead a team responsible for Lyft's foundational data layer, including catalog and metadata management,

About the Team The Systems Integration team is responsible for building the infrastructure, tooling, and validation systems that ensure our device software is reliable, testable, and ready to ship. We design and maintain automated test frameworks, hardware-in-the-loop labs, and release pipelines that keep quality signals trustworthy and enable rapid, safe product launches. Our work spans developer tools, automation, systems integration, and cross-team collaboration to ensure every release meets the highest standards. About the Role As a Software Engineer, Quality and Developer Tools , you will build and own the systems that validate our device software—from test frameworks and regression infrastructure to hardware-in-the-loop labs and release gates. You’ll design the tooling and automation that keep quality signals trustworthy, integrate them into CI/CD, and make it easy for engineers and QA vendor technicians to execute reliable, repeatable workflows. We’re looking for engineers with deep experience in software quality, automation, developer tooling, and hardware-software integration who thrive on building scalable, reliable systems for validation and release readiness. This role is based in San Francisco, CA. We use a hybrid work model of four days in the office per week and offer relocation assistance to new employees. In this role, you will: Test infrastructure & frameworks: Design, implement, and maintain a unified test framework for device software across unit, integration, system, and end-to-end testing, with reproducible runs and integrations with GitHub, Linear, and Slack. CI/CD integration & releases: Integrate test suites with Buildkite, enforce promotion criteria for staging and production, auto-file regressions, and publish traceable artifacts and release notes. Hardware-in-the-loop lab design & orchestration: Plan and bring up racks, power and networking systems, and orchestration for device testing; support automated flashing, provisioning

Titan Security is built on serving our clients and building careers – just like yours. We are trusted by some of the most well-known companies and properties in the country while remaining dedicated to building personalized security solutions that solve the needs of every customer we support. Named as a nationally recognized Top Workplace in 2024 and 2025 by USA Today, Titan's customized approach to security services will provide you with the opportunity to learn, grow and succeed. Our core values of being Unified, Transparent, Innovative, Committed and Accountable help us in providing unparalleled service and support in all that we do. If you are looking for a meaningful career, a culture of excellence, and the ability to make a difference, we want to talk to you! Titan Security is hiring Security Dispatchers, Gate officers, and Patrol Officers in the Dearborn, Michigan area. Duties for Dispatchers may include: Monitor CCTV Camera System Dispatch Patrol Officers to Locations. Answer Regular phones and Emergency phones. Monitor Alarm Panels. Respond to Radio calls. Write reports. Provide excellent Customer Service to all parties encountered while on duty, including assisting with directions and general business information. Duties for Security Officers may include: Control access to the plant through gate operations, verifying credentials of employees, contractors, and visitors. Checking Vehicle Passes to make sure the vehicles are allowed on property. Checking Semi Trucks paperwork and directing them to the proper Gate. Understanding Marsec (Maritime Security) Procedures. Conduct Marsec Vehicle inspections. Provide excellent Customer Service to all parties encountered while on duty, including assisting with directions and general business information. Qualifications: Must be at least 18 years of age Must have a valid driver's license High School diploma or general education degree (GED) Able to pass pre-employment drug screen and criminal background che

About Us Paytm is India’s leading digital payments and financial services company, focused on driving consumers and merchants to its platform through a wide range of payment and financial solutions. Paytm enables consumers with services such as utility payments, money transfers, and digital commerce, while offering payment instruments including Paytm Wallet, UPI, Paytm Payments Bank Netbanking, FASTag, and Paytm Postpaid (Buy Now, Pay Later). For merchants, Paytm provides acquiring and payment solutions such as Soundbox, EDC, QR, and Payment Gateway services, enabling seamless payment acceptance across online and offline channels. About the Team The team is part of Paytm’s Merchant Lending vertical and is responsible for driving merchant loan and merchant cash advance businesses across India. The team plays a key role in enabling merchant growth through financial inclusion and credit accessibility. Role Overview We are looking for a dynamic and execution-oriented Process Trainer to support the Merchant Lending business. The role involves designing and delivering engaging learning experiences, building scalable capability programs, and driving learning effectiveness across the Lending Merchant ecosystem. The ideal candidate will work closely with business stakeholders and Subject Matter Experts (SMEs) to simplify complex domain knowledge into impactful learning content and training interventions. The role will also focus on digitization of learning content and strengthening capability-building initiatives across teams. Key Responsibilities Learning Partnership & Capability Building Act as the Learning Partner for the Merchant Lending business, demonstrating strong domain understanding. Build and strengthen the Lending Merchant Training function focused on capability development, SOP effectiveness, and learning engagement. Identify business capability gaps and design behavioral and functional training interventions. Content Development & Training Delivery Develop e

TPM - Senior TPM About Us: Paytm is India’s leading digital payments and financial services company, which is focused on driving consumers and merchants to its platform by offering them a variety of payment use cases. To merchants Paytm offers acquiring devices like Sound box, EDC, QR and Payment Gateway where payment aggregation is done through PPI and also other banks’ financial instruments. To further enhance merchants’ business, Paytm offers merchants commerce services through advertising and Paytm Mini app store. Operating on this platform leverage, the company then offers credit services such as merchant loans, personal loans and BNPL, sourced by its financial As a Technical Program Manager, you will collaborate closely with engineering, infrastructure, and partner teams to deliver world-class products. You will represent the team internally in various product and cross-functional initiatives, define priorities, bring clarity, and lead continuous agile development. What You'll Do * Wear multiple hats as TPM, EM, and Product to drive results. * Champion execution, navigate ambiguity, and lead with clear prioritization and goals. * Communicate program plans, status, risks, and mitigation strategies to stakeholders. * Identify key technology solutions/services to define the team roadmap. * Drive internal process improvements across multiple teams and functions. * Communicate effectively with both technical and non-technical individuals. Skills That Will Help You Succeed * 10 to 14 years of experience handling complex programs across multiple teams. * Understanding of Software Development & Release Processes. * Experience navigating ambiguity and building programs from scratch. * Strong oral and written communication skills. * Ability to think clearly, analyze quantitatively, problem-solve, and prioritize. * Proven track record of driving impact for users & business. * Desirable: Analytical skills and experience with tools like Tableau. Why join us : Because

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Senior Verification Engineer with 4-8 years of Experience Unique Opportunities Complete ownership of verification and end to end analysis of sophisticated full chip gate level custom designs with advanced low power and power management technologies spread across multiple categories such as DDR5, LPDDR5,DDR6 and LPDDR6 that can operate at high speeds of up to 9600MT/s. Collaborate closely with design and verification team members spread across the globe, many of whom have decades of experience in memory design. Work on multi-functional tasks that can widen your skills. Responsibilities: Guide and set the direction for the verification effort within your areas of expertise in any project that the team undertakes. Provide verification support to design projects by simulating, analyzing, and debugging pre-silicon full chip designs. Develop Test cases/Stimulus to increase the functional coverage for all DRAM and emerging memory architectures and features. Participate in developing verification methodology and verification environments for sophisticated products. Co-work with international colleagues on

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. Integrate AI-assisted tool and insights into daily work to improve efficiency, quality or effectiveness. Contribute to a culture of continuous improvement by identifying , testing and sharing AI-enablement enhancement within one scope of work. Driving New Product Introduction process through NPI Phase Gate Review. Coordinating new product start- up to achieve first pass qualification. Understand new product start-up datelines, product applications and customer requirements; and communicate this information to the new product start-up team Working with process / equipment / manufacturing / planning area owners to bring new product and packag

We build and run the inference engine behind every Perplexity query and deploy dozens of model architectures at scale with tight latency and cost budgets. Our stack is Rust, Python, CUDA, and CuTe DSL - and we need another engineer to join us. What you will work on Examples of real work the team does: New models support. Support transformer-based retrieval, text-generation, and multimodal models in our inference infrastructure, from weight loading, request scheduling and KV-cache management to support in API Gateway. GPU kernels migration to CuTe DSL. Port our in-house CUDA kernels to NVIDIA's CuTe DSL so they run on GB200 today and are portable to Vera Rubin racks tomorrow. Rust-native serving runtime. Develop our internal Rust-based inference server to solve all Python pains and keep up with rapidly growing traffic. Performance optimisation. Profile and fix bottlenecks from network ingress through continuous batching and GPU kernel interleaving. Reliability and observability. Build dashboards, alerts, and automated remediation so we catch regressions before users do. Respond to and learn from production incidents. Who we're looking for Deep experience with GPU programming and performance work (CUDA, Triton, CUTLASS, or similar). Any other deep systems programming experience is a plus. You understand modern LLM architectures and are able to bring them up reliably in a production environment. You've built and operated production distributed systems under real load - ideally performance-critical ones. Comfortable working across languages and layers: Rust for the serving runtime, Python for model code, CUDA/CuteDSL for kernels. You own problems end-to-end. You can read a research paper on Monday, write a kernel on Wednesday, and debug a production incident on Friday. Self-directed. You do well in fast-moving environments where the path forward isn't laid out for you. Good if you touched any of ML compilers and framework internals: PyTorch internals, torch.compile, cus

We are looking for an AI Inference Engineer to join our growing team. We build and run the inference engine behind every Perplexity query and deploy dozens of model architectures at scale with tight latency and cost budgets. Our stack is Rust, Python, CUDA, and CuTe DSL. Responsibilities: New models support. Support transformer-based retrieval, text-generation, and multimodal models in our inference infrastructure, from weight loading, request scheduling and KV-cache management to support in API Gateway. GPU kernels migration to CuTe DSL. Port our in-house CUDA kernels to NVIDIA's CuTe DSL so they run on GB200 today and are portable to Vera Rubin racks tomorrow. Rust-native serving runtime. Develop our internal Rust-based inference server to solve all Python pains and keep up with rapidly growing traffic. Performance optimisation. Profile and fix bottlenecks from network ingress through continuous batching and GPU kernels interleaving. Reliability and observability. Build dashboards, alerts, and automated remediation so we catch regressions before users do. Respond to and learn from production incidents. Who we're looking for: Deep experience with GPU programming and performance work (CUDA, Triton, CUTLASS, or similar). Any other deep systems programming experience is a plus. You understand modern LLM architectures and are able to bring them up reliably in a production environment. You've built and operated production distributed systems under real load - ideally performance-critical ones. Comfortable working across languages and layers: Rust for the serving runtime, Python for model code, CUDA/CuteDSL for kernels. You own problems end-to-end. You can read a research paper on Monday, write a kernel on Wednesday, and debug a production incident on Friday. Self-directed. You do well in fast-moving environments where the path forward isn't laid out for you. Nice-to-have: ML compilers and framework internals: PyTorch internals, torch.compile, custom operators. Distribut

Data Engineering – Technical Lead About Us: Paytm is India’s leading digital payments and financial services company, which is focused on driving consumers and merchants to its platform by offering them a variety of payment use cases. To merchants, Paytm offers acquiring devices like Soundbox, EDC, QR and Payment Gateway where payment aggregation is done through PPI and also other banks’ financial instruments. To further enhance merchants’ business, Paytm offers merchants commerce services through advertising and Paytm Mini app store. Operating on this platform leverage, the company then offers credit services such as merchant loans, personal loans and BNPL, sourced by its financial partners. About the Role: This position requires someone to work on complex technical projects and closely work with peers in an innovative and fast-paced environment. For this role, we require someone with a strong product design sense & specialized in Hadoop and Spark technologies. Requirements: 4 to 8 years of experience in Big Data technologies. The position Grow our analytics capabilities with faster, more reliable tools, handling petabytes of data every day. Brainstorm and create new platforms that can help in our quest to make available to cluster users in all shapes and forms, with low latency and horizontal scalability. Make changes to our diagnosing any problems across the entire technical stack. Design and develop a real-time events pipeline for Data ingestion for real-time dash- boarding.Develop complex and efficient functions to transform raw data sources into powerful, reliable components of our data lake. Design & implement new components and various emerging technologies in Hadoop Eco- System, and successful execution of various projects. Be a brand ambassador for Paytm – Stay Hungry, Stay Humble, Stay Relevant! Skills that will help you succeed in this role: Fluent with Strong hands-on experience with Hadoop, MapReduce, Hive, Spark, PySpark etc.Excellent progr

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Senior Verification Engineer with 4-8 years of Experience As a Senior RTL Verification Engineer you will work in a highly innovative, motivated, Upbeat, and dynamic design team capable of verifying complete products using innovative memory technologies. You will need to have the ability to drive the team and the overall verification effort to ensure the timely delivery of a functionally accurate design. Unique Opportunities Complete ownership of RTL verification and end to end analysis of sophisticated full chip gate level custom designs with advanced low power and power management technologies spread across multiple categories such as DDR5, LPDDR5,DDR6 and LPDDR6 that can operate at high speeds of up to 9600MT/s. Collaborate closely with design and verification team members spread across the globe, many of whom have decades of experience in memory design. Work on multi-functional tasks that can widen your skills. Responsibilities: Guide and set the direction for the verification effort within your areas of expertise in any project that the team undertakes. Provide verification support to design projects by simulating, analyzing, and debugging pre-silicon full chip designs. Develop Test cases/Stimulus to increase the functional coverage for all DRAM and emerging memory architectures and features. Participate in developing verification methodology and verification environments for sophisticated products. Co-work wi

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Unique Opportunities Complete ownership of verification and end to end analysis of sophisticated full chip gate level custom designs with advanced low power and power management technologies spread across multiple categories such as DDR5, LPDDR5,DDR6 and LPDDR6 that can operate at high speeds of up to 9600MT/s. Collaborate closely with design and verification team members spread across the globe, many of whom have decades of experience in memory design. Work on multi-functional tasks that can widen your skills. Responsibilities: Guide and set the direction for the verification effort within your areas of expertise in any project that the team undertakes. Provide verification support to design projects by simulating, analyzing, and debugging pre-silicon full chip designs. Develop Test cases/Stimulus to increase the functional coverage for all DRAM and emerging memory architectures and features. Participate in developing verification methodology and verification environments for sophisticated products. Co-work with international colleagues on developing new verification flows to take on the challenges in design. Develop and maintain test benches and test vectors using simulation tools and run regressions for coverage analysis and improvements. Ability to identify verification pain points sui

About the Team DoorDash Labs is an independent team within DoorDash. We explore robotics and automation to transform last mile logistics in the long term. If you have a passion for applying robotics solutions in a service used by millions of people, then we want to talk to you! About the Role The Operations Specialist, Logistics will play a key role in facilitating final-mile supply chain logistics at DoorDash Labs. You will be responsible for the handling, movement, and organization of materials, components, and finished goods within our autonomous robotics service environment. This will involve operating a box truck and/or sprinter van with a lift gate to move items ranging from fully assembled robots to individual parts and other equipment between sites. You will ensure all transport activities adhere to safety regulations and maintain the integrity of the materials during transit. You’re excited about this opportunity because you will… Perform material handling tasks, including loading and unloading a wide range of components and robotic systems. Safely and efficiently operate various material handling equipment, such as liftgates, forklifts, pallet jacks, and reach trucks. Load and unload materials from trucks, containers, and other transport vehicles, ensuring proper securing and documentation. Handle hazardous materials in accordance with established safety procedures and regulations. Adhere to all company policies, safety regulations, traffic laws, and relevant government regulations for drivers. Collaborate effectively with service operations, engineering, quality, and other teams to ensure seamless material flow. Proactively identify and suggest improvements to material handling processes and workflows. We’re excited about you because… High School Diploma or equivalent; Associate's degree or technical certification preferred. 3+ years of demonstrated experience as a driver operating Box Trucks / Sprinter Vans, serving as a material transporter or logistics

Platform Engineering is the department within SRE that is responsible for a range of critical infrastructure and operational functions that support the broader engineering organization. Among these are our multi-cloud-provider Kubernetes infrastructure, networking, load balancing (including our public-facing edge and internal service mesh), and observability and alerting systems. The Fleet Management team provides the core runtime environment that empowers our developers to build and ship products to delight our customers. We manage the end-to-end lifecycle of our Kubernetes fleet, alongside the critical components that ensure cluster reliability and security (e.g., CoreDNS, cert-manager, and Gatekeeper). As our infrastructure scales to support new use cases and products, we are spearheading a migration from Terraform-based Infrastructure as Code (IaC) to an Operator-driven lifecycle management model. This role can be based out of any MongoDB U.S. office or remotely within the United States. Responsibilities Contribute to developing and maintaining a scalable and secure runtime environment on top of Kubernetes that supports product needs across MongoDB Provide internal support for our Kubernetes ecosystem, partnering with engineering teams to help them solve domain-specific problems Participate in a 24/7 on-call rotation to resolve critical issues Prioritize blameless post-mortems and dedicate engineering time to systemic fixes, ensuring you aren’t paged for the same issue twice You may be a good fit if you Have 6+ years of experience in software development and operating distributed systems Are proficient in Go, Python, or a similar language, with a strong commitment to code quality and testing practices (writing unit, integration, and E2E tests) Have deep experience using and extending containerization technologies, preferably Kubernetes Have a solid understanding of Linux operating system internals and networking concepts (e.g., filesystems, TCP/IP, DNS, TLS) Pos